Senthil Kumar Yogamani

173 papers A* 4A 8B 2C 3Journal 99Unranked 57

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MambaFusion: Adaptive State-Space Fusion for Multimodal 3D Object Detection. CoRR Venkatraman Narayanan, Bala Sai, Rahul Ahuja, Pratik Likhar, Varun Ravi Kumar, Senthil Kumar Yogamani
2026	J	`jnl`	Open-World Motion Forecasting. CoRR Nicolas Schischka, Nikhil Bharadwaj Gosala, Bangalore Ravi Kiran, Senthil Kumar Yogamani, Abhinav Valada
2026	J	`jnl`	Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision. CoRR Nikhil Gosala, Bangalore Ravi Kiran, Senthil Kumar Yogamani, Abhinav Valada
2025	J	`jnl`	CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation. CoRR Hariprasath Govindarajan, Maciej K. Wozniak, Marvin Klingner, Camille Maurice, Ravi Kiran, Senthil Kumar Yogamani
2025	J	`jnl`	Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance. CoRR Alireza Abbaspour, Tejaskumar Balgonda Patil, Bangalore Ravi Kiran, Russel Mohr, Senthil Kumar Yogamani
2025	J	`jnl`	LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Sambit Mohapatra, Senthil Kumar Yogamani, Varun Ravi Kumar, Stefan Milz, Heinrich Gotzig, Patrick Mäder
2025	A	`conf`	S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving. WACV Maciej K. Wozniak, Hariprasath Govindarajan, Marvin Klingner, Camille Maurice, Ravi Kiran, Senthil Kumar Yogamani
2024	A	`conf`	BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. IROS Jonas Schramm, Niclas Vödisch, Kürsat Petek, Bangalore Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada
2024	J	`jnl`	BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation. CoRR Jonas Schramm, Niclas Vödisch, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Wolfram Burgard, Abhinav Valada
2024	J	`jnl`	DaF-BEVSeg: Distortion-aware Fisheye Camera based Bird's Eye View Segmentation with Occlusion Reasoning. CoRR Senthil Kumar Yogamani, David Unger, Venkatraman Narayanan, Varun Ravi Kumar
2024	—	`conf`	FisheyeBEVSeg: Surround View Fisheye Cameras based Bird's-Eye View Segmentation for Autonomous Driving. CVPR Workshops Senthil Kumar Yogamani, David Unger, Venkatraman Narayanan, Varun Ravi Kumar
2024	J	`jnl`	FisheyeDetNet: 360{\deg} Surround view Fisheye Camera based Object Detection System for Autonomous Driving. CoRR Ganesh Sistu, Senthil Kumar Yogamani
2024	—	`conf`	Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks. CVPR Workshops Madhumitha Sakthi, Louis Kerofsky, Varun Ravi Kumar, Senthil Kumar Yogamani
2024	J	`jnl`	Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks. CoRR Madhumitha Sakthi, Louis Kerofsky, Varun Ravi Kumar, Senthil Kumar Yogamani
2024	—	`conf`	LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping. ECCV (58) Nikhil Gosala, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Paulo L. J. Drews-Jr, Wolfram Burgard, Abhinav Valada
2024	J	`jnl`	LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping. CoRR Nikhil Gosala, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Paulo Drews Jr., Wolfram Burgard, Abhinav Valada
2024	J	`jnl`	Neural Rendering based Urban Scene Reconstruction for Autonomous Driving. CoRR Shihao Shen, Louis Kerofsky, Varun Ravi Kumar, Senthil Kumar Yogamani
2024	J	`jnl`	S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving. CoRR Maciej K. Wozniak, Hariprasath Govindarajan, Marvin Klingner, Camille Maurice, Ravi Kiran, Senthil Kumar Yogamani
2023	J	`jnl`	LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving. CoRR Sambit Mohapatra, Senthil Kumar Yogamani, Varun Ravi Kumar, Stefan Milz, Heinrich Gotzig, Patrick Mäder
2023	J	`jnl`	Monocular three-dimensional object detection using data augmentation and self-supervised learning in autonomous driving. J. Electronic Imaging Sugirtha Thayalan, Sridevi Muthukumarasamy, Khailash Santhakumar, Bangalore Ravi Kiran, Hao Liu, Thomas Gauthier, Senthil Kumar Yogamani
2023	J	`jnl`	Multi-camera Bird's Eye View Perception for Autonomous Driving. CoRR David Unger, Nikhil Gosala, Varun Ravi Kumar, Shubhankar Borse, Abhinav Valada, Senthil Kumar Yogamani
2023	J	`jnl`	Optical Flow for Autonomous Driving: Applications, Challenges and Improvements. CoRR Shihao Shen, Louis Kerofsky, Senthil Kumar Yogamani
2023	—	`conf`	Optical flow for autonomous driving: Applications, challenges and improvements. Autonomous Vehicles and Machines Shihao Shen, Louis Kerofsky, Senthil Kumar Yogamani
2023	J	`jnl`	Surround-View Fisheye Camera Perception for Automated Driving: Overview, Survey & Challenges. IEEE Trans. Intell. Transp. Syst. Varun Ravi Kumar, Ciarán Eising, Christian Witt, Senthil Kumar Yogamani
2023	J	`jnl`	UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal. IEEE Access Subhrajyoti Dasgupta, Arindam Das, Senthil Kumar Yogamani, Sudip Das, Ciarán Eising, Andrei Bursuc, Ujjwal Bhattacharya
2023	A*	`conf`	X CVPR Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Kumar Yogamani, Fatih Porikli
2023	J	`jnl`	X CoRR Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Kumar Yogamani, Fatih Porikli
2023	J	`jnl`	X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. CoRR Shubhankar Borse, Senthil Kumar Yogamani, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Fatih Porikli
2023	J	`jnl`	X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. Mach. Vis. Appl. Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli
2023	A	`conf`	X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation. WACV Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli
2022	—	`conf`	Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. Autonomous Vehicles and Machines Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar, Senthil Kumar Yogamani
2022	J	`jnl`	An Online Learning System for Wireless Charging Alignment Using Surround-View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. Ashok Dahal, Varun Ravi Kumar, Senthil Kumar Yogamani, Ciarán Eising
2022	J	`jnl`	Deep Reinforcement Learning for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. B. Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez
2022	A	`conf`	Detecting Adversarial Perturbations in Multi-Task Perception. IROS Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt
2022	J	`jnl`	Detecting Adversarial Perturbations in Multi-Task Perception. CoRR Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt
2022	—	`conf`	FisheyePixPro: Self-supervised pretraining using Fisheye images for semantic segmentation. Autonomous Vehicles and Machines Ramchandra Cheke, Ganesh Sistu, Ciarán Eising, Pepijn van de Ven, Varun Ravi Kumar, Senthil Kumar Yogamani
2022	—	`conf`	FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images. VISIGRAPP (4: VISAPP) Anna Konrad, Ciarán Eising, Ganesh Sistu, John McDonald, Rudi C. Villing, Senthil Kumar Yogamani
2022	—	`conf`	LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation. VISIGRAPP (5: VISAPP) Sambit Mohapatra, Mona Hodaei, Senthil Kumar Yogamani, Stefan Milz, Heinrich Gotzig, Martin Simon, Hazem Rashed, Patrick Maeder
2022	—	`conf`	Multi-lane modelling using convolutional neural networks and conditional random fields. Autonomous Vehicles and Machines Ganesh Babu, Ramchandra Cheke, Ganesh Sistu, Senthil Kumar Yogamani
2022	J	`jnl`	Near-Field Perception for Low-Speed Vehicle Automation Using Surround-View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. Ciarán Eising, Jonathan Horgan, Senthil Kumar Yogamani
2022	J	`jnl`	Neuroevolutionary Multi-objective approaches to Trajectory Prediction in Autonomous Vehicles. CoRR Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Kumar Yogamani
2022	—	`conf`	Neuroevolutionary multi-objective approaches to trajectory prediction in autonomous vehicles. GECCO Companion Fergal Stapleton, Edgar Galván, Ganesh Sistu, Senthil Kumar Yogamani
2022	J	`jnl`	SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder
2022	J	`jnl`	Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes. CoRR Sugirtha T, Sridevi M, Khailash Santhakumar, Hao Liu, Bangalore Ravi Kiran, Thomas Gauthier, Senthil Kumar Yogamani
2022	J	`jnl`	Spatio-Contextual Deep Network-Based Multimodal Pedestrian Detection for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Kinjal Dasgupta, Arindam Das, Sudip Das, Ujjwal Bhattacharya, Senthil Kumar Yogamani
2022	—	`conf`	SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. EBCCSP Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Maeder
2022	J	`jnl`	SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. CoRR Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Mäder
2022	J	`jnl`	Surround-view Fisheye Camera Perception for Automated Driving: Overview, Survey and Challenges. CoRR Varun Ravi Kumar, Ciaran Eising, Christian Witt, Senthil Kumar Yogamani
2022	J	`jnl`	SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving. IEEE Robotics Autom. Lett. Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur, Paul Honeine
2022	J	`jnl`	SynWoodScape: Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving. CoRR Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur, Paul Honeine
2022	J	`jnl`	UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal. CoRR Subhrajyoti Dasgupta, Arindam Das, Sudip Das, Andrei Bursuc, Ujjwal Bhattacharya, Senthil Kumar Yogamani
2022	B	`conf`	ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. IJCNN Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald
2022	J	`jnl`	ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation. CoRR Pramit Dutta, Ganesh Sistu, Senthil Kumar Yogamani, Edgar Galván, John McDonald
2022	J	`jnl`	Woodscape Fisheye Object Detection for Autonomous Driving - CVPR 2022 OmniCV Workshop Challenge. CoRR Saravanabalagi Ramachandran, Ganesh Sistu, Varun Ravi Kumar, John McDonald, Senthil Kumar Yogamani
2022	J	`jnl`	X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation. CoRR Shubhankar Borse, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli
2021	—	`conf`	A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving. ECMR Louis Gallagher, Varun Ravi Kumar, Senthil Kumar Yogamani, John B. McDonald
2021	J	`jnl`	A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving. CoRR Louis Gallagher, Varun Ravi Kumar, Senthil Kumar Yogamani, John B. McDonald
2021	J	`jnl`	Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving. CoRR Ibrahim Sobh, Ahmed Hamed, Varun Ravi Kumar, Senthil Kumar Yogamani
2021	J	`jnl`	An Online Learning System for Wireless Charging Alignment using Surround-view Fisheye Cameras. CoRR Ashok Dahal, Varun Ravi Kumar, Senthil Kumar Yogamani, Ciaran Eising
2021	—	`conf`	BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving. ITSC Hazem Rashed, Mariam Essam, Maha Mohamed, Ahmad El Sallab, Senthil Kumar Yogamani
2021	J	`jnl`	BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving. CoRR Hazem Rashed, Mariam Essam, Maha Mohamed, Ahmad El Sallab, Senthil Kumar Yogamani
2021	—	`conf`	BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. ITSC Sambit Mohapatra, Senthil Kumar Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mäder
2021	J	`jnl`	BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving. CoRR Sambit Mohapatra, Senthil Kumar Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mäder
2021	J	`jnl`	Computer vision in automated parking systems: Design, implementation and challenges. CoRR Markus Heimberger, Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Kumar Yogamani
2021	—	`conf`	Ensemble-Based Semi-Supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving. ITSC Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani
2021	J	`jnl`	Exploring 2D Data Augmentation for 3D Monocular Object Detection. CoRR Sugirtha T, Sridevi M, Khailash Santhakumar, B. Ravi Kiran, Thomas Gauthier, Senthil Kumar Yogamani
2021	—	`conf`	FisheyeDistanceNet++: Self-Supervised Fisheye Distance Estimation with Self-Attention, Robust Loss Function and Camera View Generalization. Autonomous Vehicles and Machines Varun Ravi Kumar, Senthil Kumar Yogamani, Stefan Milz, Patrick Mäder
2021	J	`jnl`	FisheyeSuperPoint: Keypoint Detection and Description Network for Fisheye Images. CoRR Anna Konrad, Ciarán Eising, Ganesh Sistu, John McDonald, Rudi C. Villing, Senthil Kumar Yogamani
2021	A	`conf`	Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline. WACV Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciarán Eising, Ahmad El Sallab, Senthil Kumar Yogamani
2021	A*	`conf`	Learning Panoptic Segmentation from Instance Contours. ICRA Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh
2021	A	`conf`	Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving. WACV Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Varun Ravi Kumar, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani
2021	J	`jnl`	LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation. CoRR Sambit Mohapatra, Mona Hodaei, Senthil Kumar Yogamani, Stefan Milz, Patrick Maeder, Heinrich Gotzig, Martin Simon, Hazem Rashed
2021	C	`conf`	Monocular Instance Motion Segmentation for Autonomous Driving: KITTI InstanceMotSeg Dataset and Multi-Task Baseline. IV Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Waleed Hamdy, Mohamed El-Dakdouky, Ahmad El Sallab
2021	J	`jnl`	Near-field Sensing Architecture for Low-Speed Vehicle Automation using a Surround-view Fisheye Camera System. CoRR Ciarán Eising, Jonathan Horgan, Senthil Kumar Yogamani
2021	J	`jnl`	OmniDet: Surround View Cameras Based Multi-Task Visual Perception Network for Autonomous Driving. IEEE Robotics Autom. Lett. Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder
2021	J	`jnl`	OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving. CoRR Varun Ravi Kumar, Senthil Kumar Yogamani, Hazem Rashed, Ganesh Sistu, Christian Witt, Isabelle Leang, Stefan Milz, Patrick Mäder
2021	J	`jnl`	Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations. CoRR Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani
2021	—	`conf`	RoadEdgeNet: Road Edge Detection System Using Surround View Camera Images. Autonomous Vehicles and Machines Ashok Dahal, Eric Golab, Rajender Garlapati, Varun Ravi Kumar, Senthil Kumar Yogamani
2021	J	`jnl`	SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. CoRR Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder
2021	J	`jnl`	Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving. CoRR Kinjal Dasgupta, Arindam Das, Sudip Das, Ujjwal Bhattacharya, Senthil Kumar Yogamani
2021	A	`conf`	SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. WACV Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Mäder
2021	—	`conf`	VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving. ITSC Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani
2021	J	`jnl`	VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving. CoRR Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani
2021	J	`jnl`	Vision-based Driver Assistance Systems: Survey, Taxonomy and Advances. CoRR Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Kumar Yogamani
2021	—	`conf`	Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning. ITSC Mahesh M. Dhananjaya, Varun Ravi Kumar, Senthil Kumar Yogamani
2021	J	`jnl`	Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning. CoRR Mahesh M. Dhananjaya, Varun Ravi Kumar, Senthil Kumar Yogamani
2021	J	`jnl`	Woodscape Fisheye Semantic Segmentation for Autonomous Driving - CVPR 2021 OmniCV Workshop Challenge. CoRR Saravanabalagi Ramachandran, Ganesh Sistu, John McDonald, Senthil Kumar Yogamani
2020	J	`jnl`	Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation. CoRR Gabriel L. Oliveira, Senthil Kumar Yogamani, Wolfram Burgard, Thomas Brox
2020	J	`jnl`	Deep Reinforcement Learning for Autonomous Driving: A Survey. CoRR Bangalore Ravi Kiran, Ibrahim Sobh, Victor Talpaert, Patrick Mannion, Ahmad A. Al Sallab, Senthil Kumar Yogamani, Patrick Pérez
2020	—	`conf`	Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. ITSC Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani
2020	J	`jnl`	Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems. CoRR Isabelle Leang, Ganesh Sistu, Fabian Bürger, Andrei Bursuc, Senthil Kumar Yogamani
2020	A*	`conf`	FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. ICRA Varun Ravi Kumar, Sandesh Athni Hiremath, Markus Bach, Stefan Milz, Christian Witt, Clément Pinard, Senthil Kumar Yogamani, Patrick Mäder
2020	J	`jnl`	Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline. CoRR Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciaran Eising, Ahmad El Sallab, Senthil Kumar Yogamani
2020	J	`jnl`	InstanceMotSeg: Real-time Instance Motion Segmentation for Autonomous Driving. CoRR Eslam Mohamed, Mahmoud Ewaisha, Mennatullah Siam, Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab
2020	J	`jnl`	Learning Panoptic Segmentation from Instance Contours. CoRR Sumanth Chennupati, Venkatraman Narayanan, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh
2020	—	`conf`	Let The Sunshine in: Sun Glare Detection on Automotive Surround-view Cameras. Autonomous Vehicles and Machines Lucie Yahiaoui, Michal Uricár, Arindam Das, Senthil Kumar Yogamani
2020	J	`jnl`	SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. CoRR Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder
2020	—	`conf`	TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. ITSC Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani
2020	J	`jnl`	TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. CoRR Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani
2020	J	`jnl`	Trained Trajectory based Automated Parking System using Visual SLAM. CoRR Nivedita Tripathi, Senthil Kumar Yogamani
2020	A	`conf`	UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. IROS Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder
2020	J	`jnl`	UnRectDepthNet: Self-Supervised Monocular Depth Estimation using a Generic Framework for Handling Common Camera Distortion Models. CoRR Varun Ravi Kumar, Senthil Kumar Yogamani, Markus Bach, Christian Witt, Stefan Milz, Patrick Mäder
2020	—	`conf`	VisibilityNet: Camera visibility detection and image restoration for autonomous driving. Autonomous Vehicles and Machines Michal Uricár, Hazem Rashed, Adithya Ranga, Ashok Dahal, Senthil Kumar Yogamani
2019	—	`conf`	AuxNet: Auxiliary Tasks Enhanced Semantic Segmentation for Automated Driving. VISIGRAPP (5: VISAPP) Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh
2019	J	`jnl`	AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving. CoRR Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh
2019	C	`conf`	Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors. IV Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz
2019	J	`jnl`	Capsule Neural Network based Height Classification using Low-Cost Automotive Ultrasonic Sensors. CoRR Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz
2019	—	`conf`	Challenges in Designing Datasets and Validation for Autonomous Driving. VISIGRAPP (5: VISAPP) Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani
2019	J	`jnl`	Challenges in Designing Datasets and Validation for Autonomous Driving. CoRR Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani
2019	—	`conf`	DeepTrailerAssist: Deep Learning Based Trailer Detection, Tracking and Articulation Angle Estimation on Automotive Rear-View Camera. ICCV Workshops Ashok Dahal, Jakir Hossen, Sumanth Chennupati, Ganesh Sistu, Kazumi Malhan, Muhammad Amasha, Senthil Kumar Yogamani
2019	—	`conf`	Design of Real-time Semantic Segmentation Decoder for Automated Driving. VISIGRAPP (5: VISAPP) Arindam Das, Saranya Kandan, Senthil Kumar Yogamani, Pavel Krízek
2019	J	`jnl`	Design of Real-time Semantic Segmentation Decoder for Automated Driving. CoRR Arindam Das, Saranya Kandan, Senthil Kumar Yogamani, Pavel Krízek
2019	—	`conf`	Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. ICCV Workshops Michal Uricár, Ján Ulicný, Ganesh Sistu, Hazem Rashed, Pavel Krízek, David Hurych, Antonín Vobecký, Senthil Kumar Yogamani
2019	—	`conf`	DriveSpace: Towards context-aware drivable area detection. Autonomous Vehicles and Machines Ciarán Hughes, Sunil Chandra, Ganesh Sistu, Jonathan Horgan, Brian M. Deegan, Sumanth Chennupati, Senthil Kumar Yogamani
2019	—	`conf`	Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. VISIGRAPP (5: VISAPP) Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez
2019	—	`conf`	Exploring Deep Spiking Neural Networks for Automated Driving Applications. VISIGRAPP (5: VISAPP) Sambit Mohapatra, Heinrich Gotzig, Senthil Kumar Yogamani, Stefan Milz, Raoul Zöllner
2019	J	`jnl`	Exploring Deep Spiking Neural Networks for Automated Driving Applications. CoRR Sambit Mohapatra, Heinrich Gotzig, Senthil Kumar Yogamani, Stefan Milz, Raoul Zöllner
2019	J	`jnl`	Exploring applications of deep reinforcement learning for real-world autonomous driving systems. CoRR Victor Talpaert, Ibrahim Sobh, B. Ravi Kiran, Patrick Mannion, Senthil Kumar Yogamani, Ahmad El Sallab, Patrick Pérez
2019	J	`jnl`	FisheyeDistanceNet: Self-Supervised Scale-Aware Distance Estimation using Monocular Fisheye Camera for Autonomous Driving. CoRR Varun Ravi Kumar, Sandesh Athni Hiremath, Stefan Milz, Christian Witt, Clément Pinard, Senthil Kumar Yogamani, Patrick Mäder
2019	J	`jnl`	FisheyeMODNet: Moving Object detection on Surround-view Cameras for Autonomous Driving. CoRR Marie Yahiaoui, Hazem Rashed, Letizia Mariotti, Ganesh Sistu, Ian Clancy, Lucie Yahiaoui, Varun Ravi Kumar, Senthil Kumar Yogamani
2019	J	`jnl`	FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System. CoRR Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricár, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciarán Hughes, Senthil Kumar Yogamani
2019	—	`conf`	FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving. ICCV Workshops Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani
2019	J	`jnl`	FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving. CoRR Hazem Rashed, Mohamed Ramzy, Victor Vaquero, Ahmad El Sallab, Ganesh Sistu, Senthil Kumar Yogamani
2019	J	`jnl`	Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving. CoRR Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani
2019	—	`conf`	Motion and Depth Augmented Semantic Segmentation for Autonomous Navigation. CVPR Workshops Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani, Mohamed El-Helw
2019	—	`conf`	Multi-stream CNN based Video Semantic Segmentation for Automated Driving. VISIGRAPP (5: VISAPP) Ganesh Sistu, Sumanth Chennupati, Senthil Kumar Yogamani
2019	J	`jnl`	Multi-stream CNN based Video Semantic Segmentation for Automated Driving. CoRR Ganesh Sistu, Sumanth Chennupati, Senthil Kumar Yogamani
2019	—	`conf`	MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. CVPR Workshops Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh
2019	—	`conf`	MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. CVPR Workshops Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh
2019	J	`jnl`	MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning. CoRR Sumanth Chennupati, Ganesh Sistu, Senthil Kumar Yogamani, Samir A. Rawashdeh
2019	J	`jnl`	NeurAll: Towards a Unified Model for Visual Perception in Automated Driving. CoRR Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Stefan Milz, Senthil Kumar Yogamani, Samir A. Rawashdeh
2019	—	`conf`	NeurAll: Towards a Unified Visual Perception Model for Automated Driving. ITSC Ganesh Sistu, Isabelle Leang, Sumanth Chennupati, Senthil Kumar Yogamani, Ciarán Hughes, Stefan Milz, Samir A. Rawashdeh
2019	—	`conf`	Optical Flow Augmented Semantic Segmentation Networks for Automated Driving. VISIGRAPP (5: VISAPP) Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw
2019	J	`jnl`	Optical Flow augmented Semantic Segmentation networks for Automated Driving. CoRR Hazem Rashed, Senthil Kumar Yogamani, Ahmad El Sallab, Pavel Krízek, Mohamed El-Helw
2019	—	`conf`	Optimization of ISP parameters for object detection algorithms. Autonomous Vehicles and Machines Lucie Yahiaoui, Ciarán Hughes, Jonathan Horgan, Brian M. Deegan, Patrick Denny, Senthil Kumar Yogamani
2019	J	`jnl`	Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving. J. Imaging Lucie Yahiaoui, Jonathan Horgan, Brian M. Deegan, Senthil Kumar Yogamani, Ciarán Hughes, Patrick Denny
2019	—	`conf`	RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving. ITSC Khaled El Madawi, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani
2019	J	`jnl`	RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving. CoRR Khaled El Madawy, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani
2019	J	`jnl`	RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving. CoRR Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Kumar Yogamani
2019	J	`jnl`	Real-time Joint Object Detection and Semantic Segmentation Network for Automated Driving. CoRR Ganesh Sistu, Isabelle Leang, Senthil Kumar Yogamani
2019	C	`conf`	Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks. IV Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz
2019	J	`jnl`	Realistic Ultrasonic Environment Simulation Using Conditional Generative Adversarial Networks. CoRR Maximilian Pöpperl, Raghavendra Gulagundi, Senthil Kumar Yogamani, Stefan Milz
2019	—	`conf`	SoilingNet: Soiling Detection on Automotive Surround-View Cameras. ITSC Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani
2019	J	`jnl`	SoilingNet: Soiling Detection on Automotive Surround-View Cameras. CoRR Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani
2019	A*	`conf`	WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving. ICCV Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Pérez, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Sumanth Chennupati, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende
2019	J	`jnl`	WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving. CoRR Senthil Kumar Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez
2019	J	`jnl`	Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. CoRR Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny
2019	—	`conf`	Yes, we GAN: Applying adversarial techniques for autonomous driving. Autonomous Vehicles and Machines Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny
2018	—	`conf`	A Comparative Study of Real-Time Semantic Segmentation for Autonomous Driving. CVPR Workshops Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand, Hong Zhang
2018	—	`conf`	Analysis of Efficient CNN Design Techniques for Semantic Segmentation. CVPR Workshops Alexandre Briot, Prashanth Viswanath, Senthil Kumar Yogamani
2018	—	`conf`	Early Fusion of Dense Optical Flow with Image for Semantic Segmentation in Autonomous Driving. AICS Prashanth Viswanath, Ganesh Sistu, Mihai Ilie, Senthil Kumar Yogamani, Jonathan Horgan
2018	—	`conf`	Evaluation of Group Convolution in Lightweight Deep Networks for Object Classification. FFER/DLPR@ICPR Arindam Das, Thomas Boulay, Senthil Kumar Yogamani, Shiping Ou
2018	—	`conf`	MODNet: Motion and Appearance based Moving Object Detection Network for Autonomous Driving. ITSC Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab
2018	J	`jnl`	Monocular Fisheye Camera Depth Estimation Using Semi-supervised Sparse Velodyne Data. CoRR Varun Ravi Kumar, Stefan Milz, Martin Simon, Christian Witt, Karl Amende, Johannes Petzold, Senthil Kumar Yogamani
2018	—	`conf`	Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision. ITSC Varun Ravi Kumar, Stefan Milz, Christian Witt, Martin Simon, Karl Amende, Johannes Petzold, Senthil Kumar Yogamani, Timo Pech
2018	B	`conf`	RTSeg: Real-Time Semantic Segmentation Comparative Study. ICIP Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand
2018	J	`jnl`	RTSeg: Real-time Semantic Segmentation Comparative Study. CoRR Mennatullah Siam, Mostafa Gamal, Moemen Abdel-Razek, Senthil Kumar Yogamani, Martin Jägersand
2018	—	`conf`	Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps. ECCV Workshops (5) B. Ravi Kiran, Luis Roldão, Beñat Irastorza, Renzo Verastegui, Sebastian Süss, Senthil Kumar Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard
2018	J	`jnl`	Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps. CoRR B. Ravi Kiran, Luis Roldão, Beñat Irastorza, Renzo Verastegui, Sebastian Süss, Senthil Kumar Yogamani, Victor Talpaert, Alexandre Lepoutre, Guillaume Trehard
2018	—	`conf`	Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning. CVPR Workshops Stefan Milz, Georg Arbeiter, Christian Witt, Bassam Abdallah, Senthil Kumar Yogamani
2017	J	`jnl`	Computer vision in automated parking systems: Design, implementation and challenges. Image Vis. Comput. Markus Heimberger, Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Kumar Yogamani
2017	—	`conf`	Convolutional gated recurrent networks for video semantic segmentation in automated driving. ITSC Mennatullah Siam, Sepehr Valipour, Martin Jägersand, Nilanjan Ray, Senthil Kumar Yogamani
2017	—	`conf`	Deep Reinforcement Learning framework for Autonomous Driving. Autonomous Vehicles and Machines Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani
2017	J	`jnl`	Deep Reinforcement Learning framework for Autonomous Driving. CoRR Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani
2017	J	`jnl`	Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges. CoRR Mennatullah Siam, Sara Elkerdawy, Martin Jägersand, Senthil Kumar Yogamani
2017	—	`conf`	Deep semantic segmentation for automated driving: Taxonomy, roadmap and challenges. ITSC Mennatullah Siam, Sara Elkerdawy, Martin Jägersand, Senthil Kumar Yogamani
2017	J	`jnl`	MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving. CoRR Mennatullah Siam, Heba Mahgoub, Mohamed Zahran, Senthil Kumar Yogamani, Martin Jägersand, Ahmad El Sallab
2017	J	`jnl`	Real-Time Background Subtraction Using Adaptive Sampling and Cascade of Gaussians. CoRR Bangalore Ravi Kiran, Senthil Kumar Yogamani
2016	J	`jnl`	End-to-End Deep Reinforcement Learning for Lane Keeping Assist. CoRR Ahmad El Sallab, Mohammed Abdou, Etienne Perot, Senthil Kumar Yogamani
2015	—	`conf`	Vision-Based Driver Assistance Systems: Survey, Taxonomy and Advances. ITSC Jonathan Horgan, Ciarán Hughes, John McDonald, Senthil Kumar Yogamani
2013	—	`conf`	Scalable Frame to Block Based Automatic Converter for Efficient Embedded Vision Processing. CVPR Workshops Senthil Kumar Yogamani, B. H. Pawan Prasad, Rajesh Narasimha
2012	—	`conf`	A 160-fps Embedded Lane Departure Warning System. ICCVE B. H. Pawan Prasad, Senthil Kumar Yogamani
2012	—	`conf`	Real-time DSP implementation of Pedestrian Detection algorithm using HOG features. ITST Akshay Chavan, Senthil Kumar Yogamani