Sangjae Bae

Orcid: 0000-0001-7974-8203

According to our database1, Sangjae Bae authored at least 38 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
IANN-MPPI: Interaction-Aware Neural Network-Enhanced Model Predictive Path Integral Approach for Autonomous Driving.
CoRR, July, 2025

Active Probing with Multimodal Predictions for Motion Planning.
CoRR, July, 2025

Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving.
CoRR, May, 2025

Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking.
CoRR, April, 2025

Graph-Grounded LLMs: Leveraging Graphical Function Calling to Minimize LLM Hallucinations.
CoRR, March, 2025

Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting.
IEEE Robotics Autom. Lett., February, 2025

Delayed-Decision Motion Planning in the Presence of Multiple Predictions.
CoRR, February, 2025

End-to-End Predictive Planner for Autonomous Driving with Consistency Models.
CoRR, February, 2025

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees.
CoRR, January, 2025

GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach.
Int. J. Robotics Res., 2024

Solving Reach-Avoid-Stay Problems Using Deep Deterministic Policy Gradients.
CoRR, 2024

Efficient and Interaction-Aware Trajectory Planning for Autonomous Vehicles with Particle Swarm Optimization.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Competition-Aware Decision-Making Approach for Mobile Robots in Racing Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

ATLS: Automated Trailer Loading for Surface Vessels.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Gaussian Lane Keeping: A Robust Prediction Baseline.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Don't Get Stuck: A Deadlock Recovery Approach.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Multi-Profile Quadratic Programming (MPQP) for Optimal Gap Selection and Speed Planning of Autonomous Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks.
IEEE Trans. Control. Syst. Technol., March, 2023

Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving.
CoRR, 2023

RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Spatiotemporal Costmap Inference for MPC Via Deep Inverse Reinforcement Learning.
IEEE Robotics Autom. Lett., 2022

Predicting Parameters for Modeling Traffic Participants.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Risk-sensitive MPCs with Deep Distributional Inverse RL for Autonomous Driving.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

SLAS: Speed and Lane Advisory System for Highway Navigation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Inducing Human Behavior to Maximize Operation Performance at PEV Charging Station.
IEEE Trans. Smart Grid, 2021

Risk-Aware Lane Selection on Highway with Dynamic Obstacles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020
Optimal Dispatch of Electrified Autonomous Mobility on Demand Vehicles during Power Outages.
CoRR, 2020

Driving in Dense Traffic with Model-Free Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Ecological Velocity Planning through Signalized Intersections: A Deep Reinforcement Learning Approach.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Inducing Human Behavior to Alleviate Overstay at PEV Charging Station.
Proceedings of the 2020 American Control Conference, 2020

Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network.
Proceedings of the 2020 American Control Conference, 2020

2019
Real-time Ecological Velocity Planning for Plug-in Hybrid Vehicles with Partial Communication to Traffic Lights.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Design and Implementation of Ecological Adaptive Cruise Control for Autonomous Driving with Communication to Traffic Lights.
Proceedings of the 2019 American Control Conference, 2019

2018
System Analysis and Optimization of Human-Actuated Dynamical Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Stochastic day ahead load scheduling for aggregated distributed energy resources.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017


  Loading...