Combining planning and deep reinforcement learning in tactical decision making for autonomous driving CJ Hoel, K Driggs-Campbell, K Wolff, L Laine, MJ Kochenderfer IEEE transactions on intelligent vehicles 5 (2), 294-305, 2019 | 251 | 2019 |
Hg-dagger: Interactive imitation learning with human experts M Kelly, C Sidrane, K Driggs-Campbell, MJ Kochenderfer 2019 International Conference on Robotics and Automation (ICRA), 8077-8083, 2019 | 169 | 2019 |
Semiautonomous vehicular control using driver modeling VA Shia, Y Gao, R Vasudevan, KD Campbell, T Lin, F Borrelli, R Bajcsy IEEE Transactions on Intelligent Transportation Systems 15 (6), 2696-2709, 2014 | 142 | 2014 |
Adaptive stress testing with reward augmentation for autonomous vehicle validation A Corso, P Du, K Driggs-Campbell, MJ Kochenderfer 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 163-168, 2019 | 133 | 2019 |
Ensembledagger: A bayesian approach to safe imitation learning K Menda, K Driggs-Campbell, MJ Kochenderfer 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 116* | 2019 |
Data-driven probabilistic modeling and verification of human driver behavior D Sadigh, K Driggs-Campbell, A Puggelli, W Li, V Shia, R Bajcsy, ... AAAI Spring Symposium-Technical Report, 56-61, 2014 | 107 | 2014 |
Decentralized structural-rnn for robot crowd navigation with deep reinforcement learning S Liu, P Chang, W Liang, N Chakraborty, K Driggs-Campbell 2021 IEEE international conference on robotics and automation (ICRA), 3517-3524, 2021 | 91 | 2021 |
A wireless hybrid chemical sensor for detection of environmental volatile organic compounds C Chen, F Tsow, KD Campbell, R Iglesias, E Forzani, N Tao IEEE sensors journal 13 (5), 1748-1755, 2013 | 83 | 2013 |
Integrating intuitive driver models in autonomous planning for interactive maneuvers K Driggs-Campbell, V Govindarajan, R Bajcsy IEEE Transactions on Intelligent Transportation Systems 18 (12), 3461-3472, 2017 | 67 | 2017 |
A taxonomy and review of algorithms for modeling and predicting human driver behavior K Brown, K Driggs-Campbell, MJ Kochenderfer arXiv preprint arXiv:2006.08832, 2020 | 66* | 2020 |
Towards trustworthy automation: User interfaces that convey internal and external awareness T Rezvani, K Driggs-Campbell, D Sadigh, SS Sastry, SA Seshia, R Bajcsy 2016 IEEE 19th International conference on intelligent transportation …, 2016 | 66 | 2016 |
A new sensor for the assessment of personal exposure to volatile organic compounds C Chen, KD Campbell, I Negi, RA Iglesias, P Owens, N Tao, F Tsow, ... Atmospheric environment 54, 679-687, 2012 | 66 | 2012 |
Simulating emergent properties of human driving behavior using multi-agent reward augmented imitation learning RP Bhattacharyya, DJ Phillips, C Liu, JK Gupta, K Driggs-Campbell, ... 2019 International Conference on Robotics and Automation (ICRA), 789-795, 2019 | 65 | 2019 |
Improved robustness and safety for autonomous vehicle control with adversarial reinforcement learning X Ma, K Driggs-Campbell, MJ Kochenderfer 2018 IEEE Intelligent Vehicles Symposium (IV), 1665-1671, 2018 | 64 | 2018 |
Improved driver modeling for human-in-the-loop vehicular control K Driggs-Campbell, V Shia, R Bajcsy 2015 IEEE International Conference on Robotics and Automation (ICRA), 1654-1661, 2015 | 49 | 2015 |
Intention aware robot crowd navigation with attention-based interaction graph S Liu, P Chang, Z Huang, N Chakraborty, K Hong, W Liang, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 12015 …, 2023 | 47* | 2023 |
Robust, informative human-in-the-loop predictions via empirical reachable sets K Driggs-Campbell, R Dong, R Bajcsy IEEE Transactions on Intelligent Vehicles 3 (3), 300-309, 2018 | 47 | 2018 |
To explain or not to explain: A study on the necessity of explanations for autonomous vehicles Y Shen, S Jiang, Y Chen, KD Campbell arXiv preprint arXiv:2006.11684, 2020 | 45 | 2020 |
Proactive anomaly detection for robot navigation with multi-sensor fusion T Ji, AN Sivakumar, G Chowdhary, K Driggs-Campbell IEEE Robotics and Automation Letters 7 (2), 4975-4982, 2022 | 42 | 2022 |
Identifying modes of intent from driver behaviors in dynamic environments K Driggs-Campbell, R Bajcsy 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 40 | 2015 |