Katie Driggs-Campbell

PhD Thesis

Katherine Driggs-Campbell, Tools for Trustworthy Autonomy: Robust Predictions, Intuitive Control, and Optimized Interaction, EECS Department, University of California, Berkeley, Technical Report UCB/EECS-2017-41, May 2017. [URL]

Master's Thesis

Katherine Driggs-Campbell, Experimental Design for Human-in-the-Loop Driving Simulations, EECS Department, University of California, Berkeley, Technical Report UCB/EECS-2015-59, May 2015. [URL]

Journal Publications

Driver Modeling and Control

Katherine Driggs-Campbell, Vijay Govindarajan, and Ruzena Bajcsy. Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers. To Appear in Special Edition Transactions on Intelligent Transportation Systems: Applications and Systems for Collaborative Driving. October 2017.
Draft available by request.

Victor Shia, Y. Gao, R. Vasudevan, K. Driggs-Campbell, T. Lin, F. Borrelli, and R. Bajcsy, Semi-Autonomous Vehicular Control Using Driver Modeling, IEEE Transactions on Intelligent Transportation Systems, June 2014. [URL]

In Preparation and Under Review

Tara Rezvani, Katherine Driggs-Campbell, and Ruzena Bajcsy. Optimizing the Information-Performance Tradeoff between Humans and Autonomy via Information Constraints on Design. Under Review 2017.
Draft available upon request.

Katherine Driggs-Campbell, Roy Dong, and Ruzena Bajcsy. Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. In Prep 2016.
Draft available on arXiv.

Chemical Sensors

Cheng Chen, F. Tsow, K. Driggs-Campbell, R. Iglesias, E. Forzani, N. Tao. Wireless Hybrid Chemical Sensor for Detection of Environmental Volatile Organic Compounds, IEEE Sensors Journal, vol.13, no.5, pp.1748-1755, May 2013.

Katherine Driggs-Campbell, C. Chen, I. Negi, N. Tao, F. Tsow, and E. Forzani. A new sensor for the assessment of personal exposure to volatile organic compounds. Atmospheric Environment, 2012.

Conferences

Tara Rezvani, K. Driggs-Campbell, and R. Bajcsy. Optimizing Interaction Between Humans and Autonomy via Information Constraints on Interface Design. Under Review 2017.

Vijay Govindarajan, K. Driggs-Campbell, and R. Bajcsy. RobustnessUtility Trade-off in Reachability Analysis for Human-in-the-Loop Systems. Under Review 2017.

Tara Rezvani, K. Driggs-Campbell, D. Sadigh, S. S. Sastry, S. Seshia, and R. Bajcsy. Towards Trustworthy Automation: User Interfaces that Convey Internal and External Awareness, in IEEE International Conference on Intelligent Transportation Systems (ITSC), November 2016.

Katherine Driggs-Campbell and R. Bajcsy. Communicating Intent on the Road Through Human-Inspired Control Schemes, in IEEERSJ International Conference on Intelligent Robots and Systems, October 2016.

Katherine Driggs-Campbell and R. Bajcsy. Comparing Generalized Models of Driver Intent in Dynamic Environments, in IEEE Intelligent Vehicles Symposium, June 2016.

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

Chi Pang Lam, Allen Yang, K. Driggs-Campbell, R. Bajcsy, and S.S. Sastry. Improving Human-In-The-Loop Decision Making In Multi-Mode Driver Assistance Systems Using Hidden Mode Stochastic Switched Systems, in IEEE / RSJ International Conference on Intelligent Robots and Systems, September 2015.

Katherine Driggs-Campbell and R. Bajcsy. Human Inspired Modeling for Autonomous Systems: Untilizing Sensors, Machine Learning, and Control, UIUC Coordinated Science Lab Student Conference 2015 - Invited Student Speaker, January 2015.

Katherine Driggs-Campbell, V. Shia, and R. Bajcsy. Improved Driver Modeling for Human-in-the-Loop Vehicular Control, in International Conference on Robotics and Automation (ICRA). May 2015.

Katherine Driggs-Campbell, V. Shia, and R. Bajcsy. Decisions for Autonomous Vehicles: Integrating Sensors, Communication, and Control, in ACM International Conference on High Confidence Networked Systems: Poster Session. April 2014.

Dorsa Sadigh, K. Driggs-Campbell, A. Puggelli, W. Li, V. Shia, R. Bajcsy, A. Sangiovanni-Vincentelli, S. Sastry, and S. Seshia. Data-driven probabilistic modeling and verification of human driver behavior, in Formal Verification and Modeling in Human-Machine Systems - AAAI Spring Symposium. March 2014.

Katherine Driggs-Campbell, V. Shia, R. Vasudevan, F. Borrelli, and R. Bajcsy. Probabilistic driver models for semiautonomous vehicles, in Digital Signal Processing for In-Vehicle Systems. October 2013.

Juana Mari Delgado-Saborit, B. Macias, R. Harrison, K. Driggs-Campbell, C. Chen, F. Tsow, E. Forzani, and N. Tao. Measurement of TVOC and BC with a lab-on-a-cell phone and sensor technology for personal exposure assessment, in X2012 - 7th Int'l Conference on the Science of Exposure Assessment. July 2012.

Tech Reports

Katherine Driggs-Campbell and Ruzena Bajcsy. Identifying Modes of Intent from Driver Behaviors in Dynamic Environments. May 2015. Available on arXiv.

Katherine Driggs-Campbell, Guillaume Bellegarda, Victor Shia, S. Shankar Sastry, and Ruzena Bajcsy. Experimental Design for Human-in-the-Loop Driving Simulations. January 2014. Available on arXiv.

Invited Talks

Towards Trustworthy Autonomy: Robust, Informative Predictions and Intuitive Control Frameworks, Machine Intelligence in Autonomous Vehicles Summit - Invited Speaker, March 2017.

Modeling Driver Behaviors in Semi- and Fully Autonomous Vehicles for Safe Interaction, Automatic Control Department Seminar at KTH - Invited Speaker, June 2016.

Driver Modeling for Smart Vehicles, PreScan User Group Meeting at the SAE World Congress in Detroit, MI - Invited Speaker, April 2015.

Human Inspired Modeling for Autonomous Systems: Utilizing Sensors, Machine Learning, and Control, UIUC Coordinated Science Lab Student Conference - Invited Student Speaker, Jan. 2015.

Lab-on-a-Cell Phone for Personal Exposure Assessment, From Exposure to Health Effects: Novel Approaches to Find the Linkage at University of Birmingham, UK - Plenary Speaker, May 2011.