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Katherine Driggs-Campbell
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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
1532019
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
1372014
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
1142019
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
1022014
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
912019
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
86*2019
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
802013
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
602012
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
592017
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
572016
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
492019
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
492018
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
472015
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
442020
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
372018
Identifying modes of intent from driver behaviors in dynamic environments
K Driggs-Campbell, R Bajcsy
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
372015
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
302021
Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems
CP Lam, AY Yang, K Driggs-Campbell, R Bajcsy, SS Sastry
2015 IEEE/RSJ international conference on intelligent robots and systems …, 2015
272015
Dynamic environment prediction in urban scenes using recurrent representation learning
M Itkina, K Driggs-Campbell, MJ Kochenderfer
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2052-2059, 2019
262019
Long-term pedestrian trajectory prediction using mutable intention filter and warp LSTM
Z Huang, A Hasan, K Shin, R Li, K Driggs-Campbell
IEEE Robotics and Automation Letters 6 (2), 542-549, 2020
25*2020
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학술자료 1–20