Mark E. Campbell

166 papers A* 33A 11B 3C 11Misc 2Journal 87Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Feasibility and Opportunity of Autoregressive 3D Object Detection. CoRR Zanming Huang, Jinsu Yoo, Sooyoung Jeon, Zhenzhen Liu, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao, Katie Z. Luo
2026	J	`jnl`	When the City Teaches the Car: Label-Free 3D Perception from Infrastructure. CoRR Zhen Xu, Jinsu Yoo, Cristian Bautista, Zanming Huang, Tai-Yu Pan, Zhenzhen Liu, Katie Z. Luo, Mark E. Campbell, Bharath Hariharan, Wei-Lun Chao
2025	A*	`conf`	Learning 3D Perception from Others' Predictions. ICLR Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2025	J	`jnl`	Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration. CoRR Katie Z. Luo, Minh-Quan Dao, Zhenzhen Liu, Mark E. Campbell, Wei-Lun Chao, Kilian Q. Weinberger, Ezio Malis, Vincent Frémont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez
2025	A*	`conf`	Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene. CVPR Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2025	J	`jnl`	Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene. CoRR Tai-Yu Pan, Sooyoung Jeon, Mengdi Fan, Jinsu Yoo, Zhenyang Feng, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2024	A*	`conf`	Better Monocular 3D Detectors with LiDAR from the Past. ICRA Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	J	`jnl`	Better Monocular 3D Detectors with LiDAR from the Past. CoRR Yurong You, Cheng Perng Phoo, Carlos Andres Diaz-Ruiz, Katie Z. Luo, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	A*	`conf`	DiffuBox: Refining 3D Object Detection with Point Diffusion. NeurIPS Xiangyu Chen, Zhenzhen Liu, Katie Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	J	`jnl`	DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger
2024	J	`jnl`	Learning 3D Perception from Others' Predictions. CoRR Jinsu Yoo, Zhenyang Feng, Tai-Yu Pan, Yihong Sun, Cheng Perng Phoo, Xiangyu Chen, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2024	A	`conf`	SWIFT: Strategic Weather-informed Image-based Forecasting for Trajectories. IROS Youya Xia, Jose Nino, Yutao Han, Mark E. Campbell
2023	A*	`conf`	Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs. ICRA Youya Xia, Josephine Monica, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
2023	J	`jnl`	Multiple-Hypothesis Path Planning with Uncertain Object Detections. CoRR Brian H. Wang, Beatriz A. Asfora, Rachel Zheng, Aaron Peng, Jacopo Banfi, Mark E. Campbell
2023	J	`jnl`	Pre-Training LiDAR-Based 3D Object Detectors Through Colorization. CoRR Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Z. Luo, Yurong You, Mark E. Campbell, Kilian Q. Weinberger, Bharath Hariharan, Wei-Lun Chao
2023	A*	`conf`	Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization. ICRA Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2023	J	`jnl`	Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization. CoRR Junan Chen, Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2023	A*	`conf`	Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. NeurIPS Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2023	J	`jnl`	Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery. CoRR Katie Z. Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark E. Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger
2023	J	`jnl`	Unsupervised Adaptation from Repeated Traversals for Autonomous Driving. CoRR Yurong You, Cheng Perng Phoo, Katie Z. Luo, Travis Zhang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023	—	`conf`	Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. ICCV (Workshops) Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2023	J	`jnl`	Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features. CoRR Travis Zhang, Katie Luo, Cheng Perng Phoo, Yurong You, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	A*	`conf`	Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars. ICRA Yurong You, Carlos Andres Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	A*	`conf`	Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. ICLR Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception. CoRR Yurong You, Katie Z. Luo, Xiangyu Chen, Junan Chen, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	A*	`conf`	Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. CVPR Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
2022	A	`conf`	Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments. IROS Vikram Shree, Sarah Allen, Beatriz A. Asfora, Jacopo Banfi, Mark E. Campbell
2022	J	`jnl`	Learning to Assess Danger from Movies for Cooperative Escape Planning in Hazardous Environments. CoRR Vikram Shree, Sarah Allen, Beatriz A. Asfora, Jacopo Banfi, Mark E. Campbell
2022	A*	`conf`	Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CVPR Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Learning to Detect Mobile Objects from LiDAR Scans Without Labels. CoRR Yurong You, Katie Z. Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2022	J	`jnl`	Orientation-Discriminative Feature Representation for Decentralized Pedestrian Tracking. CoRR Vikram Shree, Carlos Diaz-Ruiz, Chang Liu, Bharath Hariharan, Mark E. Campbell
2022	Misc	`conf`	Planning Paths through Occlusions in Urban Environments. CoRL Yutao Han, Youya Xia, Guo-Jun Qi, Mark E. Campbell
2022	A*	`conf`	Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling. ICRA Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2021	—	`conf`	Accelerated consensus in multi-agent networks via memory of local averages. CDC Aditya Bhaskar, Shriya Rangarajan, Vikram Shree, Mark E. Campbell, Francesca Parise
2021	A*	`conf`	Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar. ICRA Brian H. Wang, Carlos Diaz-Ruiz, Jacopo Banfi, Mark E. Campbell
2021	J	`jnl`	Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar. CoRR Brian H. Wang, Carlos Diaz-Ruiz, Jacopo Banfi, Mark E. Campbell
2021	J	`jnl`	Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning. CoRR Vikram Shree, Beatriz A. Asfora, Rachel Zheng, Samantha Hong, Jacopo Banfi, Mark E. Campbell
2021	J	`jnl`	Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling. CoRR Josephine Monica, Wei-Lun Chao, Mark E. Campbell
2020	J	`jnl`	An Empirical Study of Person Re-Identification with Attributes. CoRR Vikram Shree, Wei-Lun Chao, Mark E. Campbell
2020	A*	`conf`	DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds. ICRA Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark E. Campbell
2020	J	`jnl`	DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds. CoRR Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark E. Campbell
2020	A*	`conf`	End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. CVPR Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	J	`jnl`	Interactive Natural Language-based Person Search. CoRR Vikram Shree, Wei-Lun Chao, Mark E. Campbell
2020	J	`jnl`	Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search. IEEE Robotics Autom. Lett. Beatriz A. Asfora, Jacopo Banfi, Mark E. Campbell
2020	J	`jnl`	Path Planning Under Malicious Injections and Removals of Perceived Obstacles: A Probabilistic Programming Approach. IEEE Robotics Autom. Lett. Jacopo Banfi, Yizhou Zhang, G. Edward Suh, Andrew C. Myers, Mark E. Campbell
2020	J	`jnl`	Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points. CoRR Yutao Han, Rina Tse, Mark E. Campbell
2020	J	`jnl`	Planning High-Level Paths in Hostile, Dynamic, and Uncertain Environments. J. Artif. Intell. Res. Jacopo Banfi, Vikram Shree, Mark E. Campbell
2020	J	`jnl`	Planning Paths Through Unknown Space by Imagining What Lies Therein. CoRR Yutao Han, Jacopo Banfi, Mark E. Campbell
2020	A*	`conf`	Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving. ICLR Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2020	J	`jnl`	Revisiting Meta-Learning as Supervised Learning. CoRR Wei-Lun Chao, Han-Jia Ye, De-Chuan Zhan, Mark E. Campbell, Kilian Q. Weinberger
2020	J	`jnl`	Train in Germany, Test in The USA: Making 3D Object Detectors Generalize. CoRR Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2020	A*	`conf`	Train in Germany, Test in the USA: Making 3D Object Detectors Generalize. CVPR Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao
2019	B	`conf`	An Empirical Study of Person Re-Identification with Attributes. RO-MAN Vikram Shree, Wei-Lun Chao, Mark E. Campbell
2019	A*	`conf`	Anytime Stereo Image Depth Estimation on Mobile Devices. ICRA Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger
2019	A	`conf`	High-Level Path Planning in Hostile Dynamic Environments. AAMAS Jacopo Banfi, Mark E. Campbell
2019	J	`jnl`	LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images. CoRR Brian H. Wang, Wei-Lun Chao, Yan Wang, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell
2019	J	`jnl`	Pedestrian Motion Model Using Non-Parametric Trajectory Clustering and Discrete Transition Points. IEEE Robotics Autom. Lett. Yutao Han, Rina Tse, Mark E. Campbell
2019	A*	`conf`	Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving. CVPR Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger
2019	J	`jnl`	Uncertainty Constrained Robotic Exploration: An Integrated Exploration Planner. IEEE Trans. Control. Syst. Technol. Alexander Ivanov, Mark E. Campbell
2019	—	`conf`	Vision-only 3D Tracking for Self-Driving Cars. CASE Carlos Diaz-Ruiz, Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Mark E. Campbell
2018	J	`jnl`	An integrated system for perception-driven autonomy with modular robots. Sci. Robotics Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit, Mark E. Campbell
2018	J	`jnl`	Human-Robot Communications of Probabilistic Beliefs via a Dirichlet Process Mixture of Statements. IEEE Trans. Robotics Rina Tse, Mark E. Campbell
2018	J	`jnl`	Joint Exploration and Tracking: JET. IEEE Control. Syst. Lett. Alexander Ivanov, Mark E. Campbell
2018	A*	`conf`	Perception-Informed Autonomous Environment Augmentation with Modular Robots. ICRA Tarik Tosun, Jonathan Daudelin, Gangyuan Jing, Hadas Kress-Gazit, Mark E. Campbell, Mark Yim
2018	J	`jnl`	Q-Link: A general planning architecture for navigation with qualitative relational information. Robotics Auton. Syst. Jennifer Padgett, Mark E. Campbell
2018	—	`conf`	Secure Autonomous Cyber-Physical Systems Through Verifiable Information Flow Control. CPS-SPC@CCS Jed Liu, Joe Corbett-Davies, Andrew Ferraiuolo, Alexander Ivanov, Mulong Luo, G. Edward Suh, Andrew C. Myers, Mark E. Campbell
2018	J	`jnl`	Secure Minimum Time Planning Under Environmental Uncertainty: an Extended Treatment. CoRR Alexander Ivanov, Mark E. Campbell
2017	J	`jnl`	An Adaptable, Probabilistic, Next-Best View Algorithm for Reconstruction of Unknown 3-D Objects. IEEE Robotics Autom. Lett. Jonathan Daudelin, Mark E. Campbell
2017	J	`jnl`	An Extended Consideration of Joint Exploration and Tracking: JET. CoRR Alexander Ivanov, Mark E. Campbell
2017	J	`jnl`	An Integrated System for Perception-Driven Autonomy with Modular Robots. CoRR Jonathan Daudelin, Gangyuan Jing, Tarik Tosun, Mark Yim, Hadas Kress-Gazit, Mark E. Campbell
2017	J	`jnl`	Experimental Evaluation and Formal Analysis of High-Level Tasks with Dynamic Obstacle Anticipation on a Full-Sized Autonomous Vehicle. J. Field Robotics Benjamin Johnson, Frank Havlak, Hadas Kress-Gazit, Mark E. Campbell
2017	J	`jnl`	Perception-Informed Autonomous Environment Augmentation With Modular Robots. CoRR Tarik Tosun, Jonathan Daudelin, Gangyuan Jing, Hadas Kress-Gazit, Mark E. Campbell, Mark Yim
2017	J	`jnl`	Precision Tracking via Joint Detailed Shape Estimation of Arbitrary Extended Objects. IEEE Trans. Robotics Kevin Wyffels, Mark E. Campbell
2017	J	`jnl`	Probabilistic qualitative mapping for robots. Robotics Auton. Syst. Jennifer Padgett, Mark E. Campbell
2016	J	`jnl`	All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles. CoRR Peter Radecki, Mark E. Campbell, Kevin Matzen
2016	A*	`conf`	An efficient probabilistic surface normal estimator. ICRA Daniel J. Lee, Mark E. Campbell
2016	A*	`conf`	An efficient robotic exploration planner with probabilistic guarantees. ICRA Alexander Ivanov, Mark E. Campbell
2016	A*	`conf`	Probabilistic qualitative mapping for robots. ICRA Jennifer Padgett, Mark E. Campbell
2016	J	`jnl`	Qualitative relational mapping and navigation for planetary rovers. Robotics Auton. Syst. Mark McClelland, Mark E. Campbell, Tara A. Estlin
2016	J	`jnl`	Uncertainty Constrained robotic Exploration: An Integrated Exploration Planner. CoRR Alexander Ivanov, Mark E. Campbell
2015	—	`conf`	Fully bayesian learning and spatial reasoning with flexible human sensor networks. ICCPS Nisar R. Ahmed, Mark E. Campbell, David W. Casbeer, Yongcan Cao, Derek B. Kingston
2015	A	`conf`	Human-robot information sharing with structured language generation from probabilistic beliefs. IROS Rina Tse, Mark E. Campbell
2015	A*	`conf`	Joint tracking and non-parametric shape estimation of arbitrary extended objects. ICRA Kevin Wyffels, Mark E. Campbell
2015	J	`jnl`	Multi-step prediction of nonlinear Gaussian Process dynamics models with adaptive Gaussian mixtures. Int. J. Robotics Res. Jason Hardy, Frank Havlak, Mark E. Campbell
2015	J	`jnl`	Negative Information for Occlusion Reasoning in Dynamic Extended Multiobject Tracking. IEEE Trans. Robotics Kevin Wyffels, Mark E. Campbell
2015	J	`jnl`	Unified Terrain Mapping Model With Markov Random Fields. IEEE Trans. Robotics Rina Tse, Nisar R. Ahmed, Mark E. Campbell
2014	J	`jnl`	Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments. IEEE Trans. Robotics Frank Havlak, Mark E. Campbell
2014	—	`conf`	Enabling Robust Human-Robot Cooperation through Flexible Fully Bayesian Shared Sensing. AAAI Spring Symposia Nisar Razzi Ahmed, Rina Tse, Mark E. Campbell
2014	J	`jnl`	Maximum Likelihood Fusion of Stochastic Maps. IEEE Trans. Signal Process. Brandon M. Jones, Mark E. Campbell, Lang Tong
2014	C	`conf`	Multiple-step prediction using a two stage Gaussian Process model. ACC Jason Hardy, Frank Havlak, Mark E. Campbell
2014	C	`conf`	Negative observations for multiple hypothesis tracking of dynamic extended objects. ACC Kevin Wyffels, Mark E. Campbell
2014	J	`jnl`	Qualitative Relational Mapping and Navigation for Planetary Rovers. CoRR Mark McClelland, Tara A. Estlin, Mark E. Campbell
2014	J	`jnl`	Qualitative Relational Mapping for Mobile Robots with Minimal Sensing. J. Aerosp. Inf. Syst. Mark McClelland, Mark E. Campbell, Tara A. Estlin
2013	J	`jnl`	A qualitative path planner for robot navigation using human-provided maps. Int. J. Robotics Res. Danelle C. Shah, Mark E. Campbell
2013	J	`jnl`	Bayesian Multicategorical Soft Data Fusion for Human-Robot Collaboration. IEEE Trans. Robotics Nisar R. Ahmed, Eric M. Sample, Mark E. Campbell
2013	J	`jnl`	Contingency Planning Over Probabilistic Obstacle Predictions for Autonomous Road Vehicles. IEEE Trans. Robotics Jason Hardy, Mark E. Campbell
2013	J	`jnl`	Cooperative Estimation Using Mobile Sensor Nodes in the Presence of Communication Loss. J. Aerosp. Inf. Syst. William W. Whitacre, Mark E. Campbell
2013	J	`jnl`	Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments. CoRR Frank Havlak, Mark E. Campbell
2013	J	`jnl`	Maximum Likelihood Fusion of Stochastic Maps CoRR Brandon M. Jones, Mark E. Campbell, Lang Tong
2013	A*	`conf`	Modeling and fusing negative information for dynamic extended multi-object tracking. ICRA Kevin Wyffels, Mark E. Campbell
2013	J	`jnl`	On Generalized Bayesian Data Fusion with Complex Models in Large Scale Networks. CoRR Nisar R. Ahmed, Tsung-Lin Yang, Mark E. Campbell
2013	J	`jnl`	Probabilistic Modeling of Anticipation in Human Controllers. IEEE Trans. Syst. Man Cybern. Syst. Mark McClelland, Mark E. Campbell
2012	J	`jnl`	A Sketch Interface for Robust and Natural Robot Control. Proc. IEEE Danelle C. Shah, Joseph Schneider, Mark E. Campbell
2012	J	`jnl`	Detection Methods for Mode Perturbation Signatures. IEEE Trans. Autom. Control. Paul G. Otanez, Mark E. Campbell
2012	A*	`conf`	Execution and analysis of high-level tasks with dynamic obstacle anticipation. ICRA Benjamin Johnson, Frank Havlak, Mark E. Campbell, Hadas Kress-Gazit
2012	J	`jnl`	Fast Consistent Chernoff Fusion of Gaussian Mixtures for Ad Hoc Sensor Networks. IEEE Trans. Signal Process. Nisar R. Ahmed, Mark E. Campbell
2012	—	`conf`	Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion. Robotics: Science and Systems Nisar R. Ahmed, Jonathan R. Schoenberg, Mark E. Campbell
2012	A	`conf`	Iterative smoothing approach using Gaussian mixture models for nonlinear estimation. IROS Daniel J. Lee, Mark E. Campbell
2012	J	`jnl`	On estimating simple probabilistic discriminative models with subclasses. Expert Syst. Appl. Nisar R. Ahmed, Mark E. Campbell
2012	J	`jnl`	Posterior representation with a multi-modal likelihood using the gaussian sum filter for localization in a known map. J. Field Robotics Jonathan R. Schoenberg, Mark E. Campbell, Isaac Miller
2012	—	`conf`	Qualitative Relational Mapping for Autonomous Robotics. Infotech@Aerospace Mark McClelland, Mark E. Campbell, Tara A. Estlin
2012	J	`jnl`	Sensitivity Analysis of a Tightly-Coupled GPS/INS System for Autonomous Navigation. IEEE Trans. Aerosp. Electron. Syst. Isaac Miller, Mark E. Campbell
2012	—	`conf`	Unified mixture-model based terrain estimation with Markov Random Fields. MFI Rina Tse, Nisar R. Ahmed, Mark E. Campbell
2011	A*	`conf`	A robust qualitative planner for mobile robot navigation using human-provided maps. ICRA Danelle C. Shah, Mark E. Campbell
2011	C	`conf`	Categorical soft data fusion via variational Bayesian importance sampling with applications to cooperative search. ACC Nisar R. Ahmed, Eric M. Sample, Ken Ho, Tauhira Hoossainy, Mark E. Campbell
2011	A	`conf`	Clustering obstacle predictions to improve contingency planning for autonomous road vehicles in congested environments. IROS Jason Hardy, Mark E. Campbell
2011	J	`jnl`	Efficient Unbiased Tracking of Multiple Dynamic Obstacles Under Large Viewpoint Changes. IEEE Trans. Robotics Isaac Miller, Mark E. Campbell, Dan Huttenlocher
2011	J	`jnl`	Map-aided localization in sparse global positioning system environments using vision and particle filtering. J. Field Robotics Isaac Miller, Mark E. Campbell, Dan Huttenlocher
2011	—	`conf`	Maximum likelihood combining of stochastic maps. Allerton Brandon M. Jones, Mark E. Campbell, Lang Tong
2011	J	`jnl`	Probabilistic Validation of Simplified Models of Spacecraft Formations near Libration Points. IEEE Trans. Aerosp. Electron. Syst. Isaac Miller, Mark E. Campbell
2011	J	`jnl`	Probabilistic multi-level maps from LIDAR data. Int. J. Robotics Res. César Rivadeneyra, Mark E. Campbell
2011	J	`jnl`	Solutions to Periodic Sensor Scheduling Problems for Formation Flying Missions in Deep Space. IEEE Trans. Aerosp. Electron. Syst. Terence H. McLoughlin, Mark E. Campbell
2011	J	`jnl`	Variational Bayesian Learning of Probabilistic Discriminative Models With Latent Softmax Variables. IEEE Trans. Signal Process. Nisar R. Ahmed, Mark E. Campbell
2011	C	`conf`	Variational learning of autoregressive Mixtures of Experts for fully Bayesian hybrid system identification. ACC Nisar R. Ahmed, Mark E. Campbell
2010	A	`conf`	A robust sketch interface for natural robot control. IROS Danelle C. Shah, Joseph Schneider, Mark E. Campbell
2010	A	`conf`	Contingency planning over probabilistic hybrid obstacle predictions for autonomous road vehicles. IROS Jason Hardy, Mark E. Campbell
2010	A	`conf`	Segmentation of dense range information in complex urban scenes. IROS Jonathan R. Schoenberg, Aaron Nathan, Mark E. Campbell
2010	A*	`conf`	Variational Bayesian data fusion of multi-class discrete observations with applications to cooperative human-robot estimation. ICRA Nisar R. Ahmed, Mark E. Campbell
2009	C	`conf`	Distributed terrain estimation using a mixture-model based algorithm. FUSION Jonathan R. Schoenberg, Mark E. Campbell
2009	A*	`conf`	Localization with multi-modal vision measurements in limited GPS environments using Gaussian Sum Filters. ICRA Jonathan R. Schoenberg, Mark E. Campbell, Isaac Miller
2009	A*	`conf`	Probabilistic estimation of Multi-Level terrain maps. ICRA César Rivadeneyra, Isaac Miller, Jonathan R. Schoenberg, Mark E. Campbell
2009	—	`conf`	Team Cornell's Skynet: Robust Perception and Planning in an Urban Environment. The DARPA Urban Challenge Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline, Pete Moran, Noah Zych, Brian Schimpf, Sergei Lupashin, Ephrahim Garcia, Jason Catlin, Mike Kurdziel, Hikaru Fujishima
2009	—	`conf`	The MIT - Cornell Collision and Why It Happened. The DARPA Urban Challenge Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline
2008	—	`conf`	A locally most powerful detector for mode perturbation signatures. CDC Paul G. Otanez, Mark E. Campbell
2008	C	`conf`	Multimodal operator decision models. ACC Nisar R. Ahmed, Mark E. Campbell
2008	A*	`conf`	Particle filtering for map-aided localization in sparse GPS environments. ICRA Isaac Miller, Mark E. Campbell
2008	J	`jnl`	Robust Nonlinear Model Predictive Control With Partial State Information. IEEE Trans. Control. Syst. Technol. Eelco Scholte, Mark E. Campbell
2008	A	`conf`	Scalable Bayesian human-robot cooperation in mobile sensor networks. IROS Frédéric Bourgault, Aakash Chokshi, John Wang, Danelle C. Shah, Jonathan R. Schoenberg, Ramnath Iyer, Franco Cedano, Mark E. Campbell
2008	J	`jnl`	Team Cornell's Skynet: Robust perception and planning in an urban environment. J. Field Robotics Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Frank-Robert Kline, Aaron Nathan, Sergei Lupashin, Jason Catlin, Brian Schimpf, Pete Moran, Noah Zych, Ephrahim Garcia, Mike Kurdziel, Hikaru Fujishima
2008	J	`jnl`	The MIT-Cornell collision and why it happened. J. Field Robotics Luke Fletcher, Seth J. Teller, Edwin Olson, David Moore, Yoshiaki Kuwata, Jonathan P. How, John J. Leonard, Isaac Miller, Mark E. Campbell, Dan Huttenlocher, Aaron Nathan, Frank-Robert Kline
2007	J	`jnl`	Bounded Switched Linear Estimator for Smooth Nonlinear Systems. IEEE Trans. Control. Syst. Technol. Paul G. Otanez, Mark E. Campbell
2007	J	`jnl`	Cooperative Tracking Using Vision Measurements on SeaScan UAVs. IEEE Trans. Control. Syst. Technol. Mark E. Campbell, William W. Whitacre
2007	J	`jnl`	Planning for Cooperative Multi-vehicle Reconnaissance. J. Aerosp. Comput. Inf. Commun. Jarurat Ousingsawat, Mark E. Campbell
2007	A*	`conf`	Rao-Blackwellized Particle Filtering for Mapping Dynamic Environments. ICRA Isaac Miller, Mark E. Campbell
2007	B	`conf`	State-dependent probabilistic model reduction for evaluation of human-robotic autonomous systems. SMC Danelle C. Shah, Mark E. Campbell
2007	A*	`conf`	Towards Probabilistic Operator-Multiple Robot Decision Models. ICRA Mark E. Campbell, Frédéric Bourgault, Scott Galster, David Schneider
2006	J	`jnl`	A mixture-model based algorithm for real-time terrain estimation. J. Field Robotics Isaac Miller, Mark E. Campbell
2006	A	`conf`	Probability Map Building Algorithms Design for an Unknown Dynamic Environment. IROS Yongchun Fang, Mark E. Campbell, Bojun Ma
2006	J	`jnl`	Stabilization of Spacecraft Flight in Halo Orbits: An H IEEE Trans. Control. Syst. Technol. Jayant Kulkarni, Mark E. Campbell, Geir E. Dullerud
2006	J	`jnl`	To Drive Is Human. Computer Isaac Miller, Ephrahim Garcia, Mark E. Campbell
2005	J	`jnl`	Collision monitoring within satellite clusters. IEEE Trans. Control. Syst. Technol. Mark E. Campbell
2005	—	`conf`	Hybrid Cooperative Reconnaissance Without Communication. CDC/ECC Paul G. Otanez, Mark E. Campbell
2005	B	`conf`	Operator decision modeling for intelligence, surveillance and reconnaissance type missions. SMC Jesse Peter Veverka, Mark E. Campbell
2005	C	`conf`	Validation of simplified formation models at L2. ACC Isaac Miller, Mark E. Campbell
2004	—	`conf`	A Resource Allocation Algorithm for Multiple Tasks of RoboFlag Environment. ROBIO Yongchun Fang, Mark E. Campbell
2004	—	`conf`	An approach to magnetic torque attitude control of satellites via 'H CDC Jayant Kulkarni, Mark E. Campbell
2004	—	`conf`	Artificial Potential Guided Evolutionary Path Plan for Multi-Vehicle Multi-Target Pursuit. ROBIO Di Zu, Jianda Han, Mark E. Campbell
2004	C	`conf`	Asymptotic stabilization of motion about an unstable orbit: application to spacecraft flight in Halo orbit. ACC Jayant Kulkarni, Mark E. Campbell
2004	C	`conf`	Bounded model switching in uncertain hybrid systems. ACC Paul G. Otanez, Mark E. Campbell
2003	J	`jnl`	Multiple agent-based autonomy for satellite constellations. Artif. Intell. Thomas P. Schetter, Mark E. Campbell, Derek M. Surka
2002	C	`conf`	Collision avoidance in satellite clusters. ACC Mark E. Campbell, Bogdan Udrea
2002	C	`conf`	Online nonlinear guaranteed estimation with application to a high performance aircraft. ACC Eelco Scholte, Mark E. Campbell
2000	Misc	`conf`	Comparison of Multiple Agent-Based Organizations for Satellite Constellations (TechSat21). FLAIRS Thomas P. Schetter, Mark E. Campbell, Derek M. Surka
2000	—	`conf`	Controlling Multiple Satellite Constellations Using the TEAMAgent System. FAABS Derek M. Surka, Mark E. Campbell, Thomas P. Schetter
2000	—	`conf`	Multiple Agent-Based Autonomy for Satellite Constellations. ASA/MA Thomas P. Schetter, Mark E. Campbell, Derek M. Surka
1999	J	`jnl`	Parametric uncertainty model for control design and analysis. IEEE Trans. Control. Syst. Technol. Mark E. Campbell, Simon C. O. Grocott