Songan Zhang
Orcid: 0000-0002-3238-5406
According to our database1,
Songan Zhang
authored at least 26 papers
between 2018 and 2024.
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Bibliography
2024
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination.
IEEE Robotics Autom. Lett., November, 2024
IEEE Trans. Intell. Veh., May, 2024
Choose Your Simulator Wisely: A Review on Open-Source Simulators for Autonomous Driving.
IEEE Trans. Intell. Veh., May, 2024
Leverage Knowledge Graph and Large Language Model for Law Article Recommendation: A Case Study of Chinese Criminal Law.
CoRR, 2024
End-to-end Driving in High-Interaction Traffic Scenarios with Reinforcement Learning.
CoRR, 2024
HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios.
CoRR, 2024
Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization.
CoRR, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Balanced Training for the End-to-End Autonomous Driving Model Based on Kernel Density Estimation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
CamoTeacher: Dual-Rotation Consistency Learning for Semi-supervised Camouflaged Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Tactics2D: A Multi-agent Reinforcement Learning Environment for Driving Decision-making.
CoRR, 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the American Control Conference, 2023
2022
Comprehensive Safety Evaluation of Highly Automated Vehicles at the Roundabout Scenario.
IEEE Trans. Intell. Transp. Syst., 2022
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
Prior Is All You Need to Improve the Robustness and Safety for the First Time Deployment of Meta RL.
CoRR, 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning.
CoRR, 2020
Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Discretionary Lane Change Decision Making using Reinforcement Learning with Model-Based Exploration.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018