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Katherine Driggs-Campbell
Katherine Driggs-Campbell
Assistant Professor, University of Illinois at Urbana-Champaign
Bestätigte E-Mail-Adresse bei illinois.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2892019
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
2072019
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
1522019
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
1462014
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
141*2019
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
1202021
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
1072014
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
842013
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
78*2020
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
75*2023
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
722017
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
692018
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
682019
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
682016
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
662012
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
582020
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
512022
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
512015
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
482018
Identifying modes of intent from driver behaviors in dynamic environments
K Driggs-Campbell, R Bajcsy
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
432015
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