Here is an old list of publications. For up-to-date lists, check out my google scholar page or the Human-Centered Autonomy Lab page.

Most supplementary material can be found here.

Carl-Johan Hoel, Katherine Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer. “Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving.” In IEEE Transactions on Intelligent Vehicles, 2019. Available on arXiv.

Masha Itkina, Katherine Driggs-Campbell, and Mykel J. Kochenderfer. “Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning.” In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019. Available on arXiv.

Anthony Corso*, Peter Du*, Katherine Driggs-Campbell, Mykel J. Kochenderfer. “Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation.” In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2019. Available on arXiv.

Kunal Menda, Katherine Driggs-Campbell, and Mykel J. Kochenderfer. “EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning.” In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019. Available on arXiv.

Xiaobai Ma, Katherine Driggs-Campbell, Zongzhang Zhang, and Mykel J. Kochenderfer. “Monte Carlo Tree Search for Policy Optimization.” In International Joint Conference on Artificial Intelligence (IJCAI), 2019. Available on arXiv.

Michael Kelly, Chelsea Sidrane, Katherine Driggs-Campbell, and Mykel J. Kochenderfer. “HG-DAgger: Interactive Imitation Learning with Human Experts.” In IEEE International Conference on Robotics and Automation (ICRA), 2019. Available on arXiv.

Raunak Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Driggs-Campbell, and Mykel J. Kochenderfer. “Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.” In IEEE International Conference on Robotics and Automation (ICRA), 2019. Available on arXiv.

Oladapo Afolabi*, Katherine Driggs-Campbell*, Roy Dong, Mykel J. Kochenderfer, and S Shankar Sastry. “People as Sensors: Imputing Maps from Human Actions.” In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. Available on arXiv.

Katherine Driggs-Campbell, Roy Dong, and Ruzena Bajcsy. “Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets.” IEEE Transactions on Intelligent Vehicles, 2018.

Vijay Govindarajan, Katherine Driggs-Campbell, and Ruzena Bajcsy. “Affective Driver State Monitoring for Personalized, Adaptive ADAS.” In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018.

Xiaobai Ma, Katherine Driggs-Campbell, and Mykel J. Kochenderfer. “Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning.” In IEEE Intelligent Vehicles Symposium (IV), 2018. Available on arXiv.

Katherine Rose Driggs Campbell. “Tools for Trustworthy Autonomy: Robust Predictions, Intuitive Control, and Optimized Interaction.” PhD Thesis, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 2017.

Katherine Driggs-Campbell, Vijay Govindarajan, and Ruzena Bajcsy. “Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers.” IEEE Transactions on Intelligent Transportation Systems 18, no. 12 (2017): 3461–3472.

Vijay Govindarajan, Katherine Driggs-Campbell, and Ruzena Bajcsy. “Data-Driven Reachability Analysis for Human-in-the-Loop Systems.” In IEEE Conference on Decision and Control (CDC), 2017.

Tara Rezvani, Katherine Driggs-Campbell, and Ruzena Bajcsy. “Optimizing Interaction between Humans and Autonomy via Information Constraints on Interface Design.” In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017.

Katherine Driggs-Campbell and Ruzena Bajcsy. “Communicating Intent on the Road through Human-Inspired Control Schemes.” In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016.

Katherine Driggs-Campbell and Ruzena Bajcsy. “Comparing Datasets for Generalizing Models of Driver Intent in Dynamic Environments.” In IEEE Intelligent Vehicles Symposium (IV), 2016.

Tara Rezvani, Katherine Driggs-Campbell, Dorsa Sadigh, S Shankar Sastry, Sanjit A Seshia, and Ruzena Bajcsy. “Towards Trustworthy Automation: User Interfaces That Convey Internal and External Awareness.” In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2016.

Katherine Driggs-Campbell, and Ruzena Bajcsy. “Identifying Modes of Intent from Driver Behaviors in Dynamic Environments.” In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2015.

Katherine Driggs-Campbell, Victor Shia, and Ruzena Bajcsy. “Improved Driver Modeling for Human-in-the-Loop Vehicular Control.” In IEEE International Conference on Robotics and Automation (ICRA), 2015.

Chi-Pang Lam, Allen Y Yang, Katherine Driggs-Campbell, Ruzena Bajcsy, and S Shankar Sastry. “Improving Human-in-the-Loop Decision Making in Multi-Mode Driver Assistance Systems Using Hidden Mode Stochastic Hybrid Systems.” In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.

Katherine Driggs-Campbell, Victor Shia, and Ruzena Bajcsy. “Decisions for Autonomous Vehicles: Integrating Sensors, Communication, and Control.” In ACM International Conference on High Confidence Networked Systems, 2014.

Katherine Driggs-Campbell, Guillaume Bellegarda, Victor Shia, S Shankar Sastry, and Ruzena Bajcsy. “Experimental Design for Human-in-the-Loop Driving Simulations.” Technical Report, 2014.

Dorsa Sadigh, Katherine Driggs-Campbell, Ruzena Bajcsy, S Shankar Sastry, and Sanjit Seshia. “User Interface Design and Verification for Semi-Autonomous Driving.” In ACM International Conference on High Confidence Networked Systems, 2014.

Dorsa Sadigh, Katherine Driggs-Campbell, Alberto Puggelli, Wenchao Li, Victor Shia, Ruzena Bajcsy, Alberto L Sangiovanni-Vincentelli, S Shankar Sastry, and Sanjit A Seshia. “Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior,” in AAAI Spring Symposium Series 2014.

Victor Shia, Yiqi Gao, Ramanarayan Vasudevan, Katherine Driggs-Campbell, Theresa Lin, Francesco Borrelli, and Ruzena Bajcsy. “Semiautonomous Vehicular Control Using Driver Modeling.” IEEE Transactions on Intelligent Transportation Systems 15, no. 6 (2014): 2696–2709.

Cheng Chen, Francis Tsow, Katherine Driggs-Campbell, Rodrigo Iglesias, Erica Forzani, and Nongjian Tao. “A Wireless Hybrid Chemical Sensor for Detection of Environmental Volatile Organic Compounds.” IEEE Sensors Journal 13, no. 5 (2013): 1748–1755.

Katherine Driggs-Campbell, Victor Shia, Ram Vasudevan, Francesco Borrelli, and Ruzena Bajcsy. “Probabilistic Driver Modeling to Characterize Human Behavior for Semiautonomous Framework.” In Biennial Workshop on Digital Signal Processing for In-Vehicle Systems, 2013.

Cheng Chen, Katherine Driggs-Campbell, Indira Negi, Rodrigo A Iglesias, Patrick Owens, Nongjian Tao, Francis Tsow, and Erica S Forzani. “A New Sensor for the Assessment of Personal Exposure to Volatile Organic Compounds.” Atmospheric Environment 54 (2012): 679–687.