Katherine Driggs-Campbell

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Mykel J. KochenderferAssociate Professor, Stanford UniversityVerificeret mail på stanford.edu
Shuijing LiuGraduate Student, University of Illinois at Urbana ChampaignVerificeret mail på illinois.edu
Zhe HuangUniversity of Illinois Urbana-ChampaignVerificeret mail på illinois.edu
Neeloy ChakrabortyPhD Candidate, University of Illinois at Urbana-ChampaignVerificeret mail på illinois.edu
Tianchen JiGraduate Student, University of Illinois at Urbana ChampaignVerificeret mail på illinois.edu
Peter DuUniversity of Illinois at Urbana-ChampaignVerificeret mail på illinois.edu
Peixin ChangUniversity of Illinois, Urbana-ChampaignVerificeret mail på illinois.edu
Victor ShiaUC BerkeleyVerificeret mail på eecs.berkeley.edu
Aamir HasanGraduate Student, University of Illinois at Urbana-ChampaignVerificeret mail på illinois.edu
Shankar SastryUniversity of CaliforniaVerificeret mail på berkeley.edu
D. Livingston McPhersonAssistant Teaching Professor, Computer Science, University of Illinois, Urbana-ChampaignVerificeret mail på illinois.edu
Ye-Ji MunGraduate Student, University of Illinois at Urbana-ChampaignVerificeret mail på illinois.edu
Kaiwen HongUniversity of Illinois at Urbana ChampaignVerificeret mail på illinois.edu
Roy DongAssistant Professor at UIUCVerificeret mail på illinois.edu
Haonan ChenUniversity of Illinois at Urbana-ChampaignVerificeret mail på illinois.edu
Junyi GengAssistant Professor, Pennsylvania State UniversityVerificeret mail på psu.edu
Sanjit A. SeshiaProfessor of EECS, University of California, BerkeleyVerificeret mail på eecs.berkeley.edu
Dorsa SadighStanford UniversityVerificeret mail på cs.stanford.edu
Kunal MendaStealth StartupVerificeret mail på alumni.stanford.edu
Vijay GovindarajanPhD Student, Electrical Engineering and Computer SciencesVerificeret mail på berkeley.edu

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Katherine Driggs-Campbell

Assistant Professor, University of Illinois at Urbana-Champaign

Verificeret mail på illinois.edu - Startside

Robotics Autonomous Vehicles Human-Robot Interaction Intelligent Transportation


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	297	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	229	2019
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	155	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	148	2014
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	136*	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	128	2021
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	108	2014
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	87	2013
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	82*	2023
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	82*	2020
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	74	2017
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	71	2018
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	69	2019
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	68	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	68	2012
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	60	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	54	2022
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	51	2015
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	50	2018
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	43*	2020

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