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Publication search results
found 67 matches
- 2024
- Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac:
Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach. Int. J. Robotics Res. 43(9): 1382-1408 (2024) - Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Interactive Autonomous Navigation With Internal State Inference and Interactivity Estimation. IEEE Trans. Robotics 40: 2932-2949 (2024) - Alexandre Miranda Añon, Sangjae Bae, Manish Saroya, David Isele:
Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. ICRA 2024: 12158-12164 - Piyush Gupta, David Isele, Sangjae Bae:
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. IV 2024: 2735-2742 - Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae:
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. IV 2024: 2070-2077 - Alexandre Miranda Añon, Sangjae Bae, Manish Saroya, David Isele:
Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving. CoRR abs/2401.06305 (2024) - Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae:
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. CoRR abs/2402.01575 (2024) - Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura:
Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks. CoRR abs/2403.19633 (2024) - Piyush Gupta, David Isele, Sangjae Bae:
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. CoRR abs/2404.01746 (2024) - Jinning Li, Jiachen Li, Sangjae Bae, David Isele:
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. CoRR abs/2407.09475 (2024) - Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, Mykel J. Kochenderfer:
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments. CoRR abs/2407.15839 (2024) - David Isele, Piyush Gupta, Xinyi Liu, Sangjae Bae:
Gaussian Lane Keeping: A Robust Prediction Baseline. CoRR abs/2407.18451 (2024) - Francesca Baldini, Faizan M. Tariq, Sangjae Bae, David Isele:
Don't Get Stuck: A Deadlock Recovery Approach. CoRR abs/2408.10167 (2024) - 2023
- Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Añon, Chiho Choi, Kikuo Fujimura, Scott J. Moura:
Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks. IEEE Trans. Control. Syst. Technol. 31(2): 646-659 (2023) - Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae:
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. ICRA 2023: 7794-7800 - Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. ITSC 2023: 4114-4120 - Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. ITSC 2023: 3950-3957 - Piyush Gupta, David Isele, Donggun Lee, Sangjae Bae:
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control. CoRR abs/2301.05393 (2023) - Siyu Dai, Sangjae Bae, David Isele:
Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. CoRR abs/2301.09178 (2023) - Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele:
Predicting Parameters for Modeling Traffic Participants. CoRR abs/2301.10893 (2023) - Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac:
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach. CoRR abs/2302.00171 (2023) - Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
SLAS: Speed and Lane Advisory System for Highway Navigation. CoRR abs/2303.00861 (2023) - Kanghoon Lee, Jiachen Li, David Isele, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Robust Driving Policy Learning with Guided Meta Reinforcement Learning. CoRR abs/2307.10160 (2023) - Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. CoRR abs/2309.12531 (2023) - Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer:
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation. CoRR abs/2311.16091 (2023) - 2022
- Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning. IEEE Robotics Autom. Lett. 7(2): 3194-3201 (2022) - Xiaobai Ma, David Isele, Jayesh K. Gupta, Kikuo Fujimura, Mykel J. Kochenderfer:
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning. AAAI 2022: 7664-7671 - Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae:
SLAS: Speed and Lane Advisory System for Highway Navigation. CDC 2022: 6979-6986 - Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae:
Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. IROS 2022: 7635-7642 - Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele:
Predicting Parameters for Modeling Traffic Participants. ITSC 2022: 703-708
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