Sangjae Bae

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Predictive Control

Autonomous Vehicles

Reinforcement Learning

Top Venues

Publications

Piyush Gupta, David Isele, Sangjae Bae
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. IV (2024)
Kyoungtae Ji, Sangjae Bae, Nan Li, Kyoungseok Han
Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios. IV (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. CoRR (2024)
Amer Abughaida, Meet Gandhi, Jun Heo, Vaishnav Tadiparthi, Yosuke Sakamoto, Joohyun Woo, Sangjae Bae
ATLS: Automated Trailer Loading for Surface Vessels. IV (2024)
David Isele, Piyush Gupta, Xinyi Liu, Sangjae Bae
Gaussian Lane Keeping: A Robust Prediction Baseline. CoRR (2024)
Jinning Li, Jiachen Li, Sangjae Bae, David Isele
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting. CoRR (2024)
Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. IV (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)
Piyush Gupta, David Isele, Sangjae Bae
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation. CoRR (2024)
Lin Song, David Isele, Naira Hovakimyan, Sangjae Bae
Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization. CoRR (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 (2024)
Amer Abughaida, Meet Gandhi, Jun Heo, Vaishnav Tadiparthi, Yosuke Sakamoto, Joohyun Woo, Sangjae Bae
ATLS: Automated Trailer Loading for Surface Vessels. CoRR (2024)
Kyoungtae Ji, Sangjae Bae, Nan Li, Kyoungseok Han
Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios. CoRR (2024)
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)
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 (2023)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
SLAS: Speed and Lane Advisory System for Highway Navigation. CoRR (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) (2023)
Siyu Dai, Sangjae Bae, David Isele
Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving. CoRR (2023)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. ITSC (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 (2023)
Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi-Pari, David Isele
Predicting Parameters for Modeling Traffic Participants. CoRR (2023)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles. CoRR (2023)
Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving. IROS (2022)
Ahmadreza Moradipari, Sangjae Bae, Mahnoosh Alizadeh, Ehsan Moradi Pari, David Isele
Predicting Parameters for Modeling Traffic Participants. ITSC (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) (2022)
Keuntaek Lee, David Isele, Evangelos A. Theodorou, Sangjae Bae
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning. CoRR (2022)
Faizan M. Tariq, David Isele, John S. Baras, Sangjae Bae
SLAS: Speed and Lane Advisory System for Highway Navigation. CDC (2022)
Teng Zeng, Sangjae Bae, Bertrand Travacca, Scott J. Moura
Inducing Human Behavior to Maximize Operation Performance at PEV Charging Station. IEEE Trans. Smart Grid 12 (4) (2021)
Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. CoRR (2021)
Sangjae Bae, David Isele, Kikuo Fujimura, Scott J. Moura
Risk-Aware Lane Selection on Highway with Dynamic Obstacles. IV (2021)
Sangjae Bae, Teng Zeng, Bertrand Travacca, Scott J. Moura
Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. ACC (2020)
Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev
Driving in Dense Traffic with Model-Free Reinforcement Learning. ICRA (2020)
Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network. ACC (2020)
Andrea Pozzi, Sangjae Bae, Yongkeun Choi, Francesco Borrelli, Davide Martino Raimondo, Scott J. Moura
Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach. CDC (2020)
Colin Sheppard, Laurel N. Dunn, Sangjae Bae, Max Gardner
Optimal Dispatch of Electrified Autonomous Mobility on Demand Vehicles during Power Outages. CoRR (2020)
Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev
Driving in Dense Traffic with Model-Free Reinforcement Learning. CoRR (2019)
Sangjae Bae, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights. ACC (2019)
Sangjae Bae, Yongkeun Choi, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. CDC (2019)
Sangjae Bae, Teng Zeng, Bertrand Travacca, Scott J. Moura
Inducing Human Behavior to Alleviate Overstay at PEV Charging Station. CoRR (2019)
Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, Scott J. Moura
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network. CoRR (2019)
Sangjae Bae, Yongkeun Choi, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights. CoRR (2019)
Sangjae Bae, Yeojun Kim, Jacopo Guanetti, Francesco Borrelli, Scott J. Moura
Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights. CoRR (2018)
Sangjae Bae, Sang Min Han, Scott J. Moura
System Analysis and Optimization of Human-Actuated Dynamical Systems. ACC (2018)
Bertrand Travacca, Sangjae Bae, Jiacheng Wu, Scott J. Moura
Stochastic day ahead load scheduling for aggregated distributed energy resources. CCTA (2017)