2 code implementations • 31 May 2024 • Mingyang Jiang, Yueyuan Li, Songan Zhang, Chunxiang Wang, Ming Yang
To facilitate the training and evaluation of the proposed planner, we propose a criterion for categorizing the difficulty level of parking scenarios based on space and obstacle distribution.
no code implementations • 17 Apr 2024 • Yongdong Luo, Haojia Lin, Xiawu Zheng, Yigeng Jiang, Fei Chao, Jie Hu, Guannan Jiang, Songan Zhang, Rongrong Ji
3D Visual Grounding (3DVG) and 3D Dense Captioning (3DDC) are two crucial tasks in various 3D applications, which require both shared and complementary information in localization and visual-language relationships.
2 code implementations • 18 Nov 2023 • Yueyuan Li, Songan Zhang, Mingyang Jiang, Xingyuan Chen, Yeqiang Qian, Chunxiang Wang, Ming Yang
Simulation is a prospective method for generating diverse and realistic traffic scenarios to aid in the development of driving decision-making systems.
no code implementations • 18 Nov 2023 • Yueyuan Li, Wei Yuan, Songan Zhang, Weihao Yan, Qiyuan Shen, Chunxiang Wang, Ming Yang
Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor savings.
no code implementations • 11 Nov 2023 • Lu Wen, Songan Zhang, H. Eric Tseng, Huei Peng
Meta reinforcement learning (Meta RL) has been amply explored to quickly learn an unseen task by transferring previously learned knowledge from similar tasks.
no code implementations • 14 Oct 2022 • Nicholas Rober, Michael Everett, Songan Zhang, Jonathan P. How
We introduce a hybrid partitioning method that uses both target set partitioning (TSP) and backreachable set partitioning (BRSP) to overcome a lower bound on estimation error that is present when using BRSP.
no code implementations • 19 Aug 2021 • Lu Wen, Songan Zhang, H. Eric Tseng, Baljeet Singh, Dimitar Filev, Huei Peng
The performance of PEARL$^+$ is validated by solving three safety-critical problems related to robots and AVs, including two MuJoCo benchmark problems.
1 code implementation • 18 Apr 2021 • Songan Zhang, Lu Wen, Huei Peng, H. Eric Tseng
It is essential for an automated vehicle in the field to perform discretionary lane changes with appropriate roadmanship - driving safely and efficiently without annoying or endangering other road users - under a wide range of traffic cultures and driving conditions.
1 code implementation • 29 Mar 2021 • Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman
This paper proposes a method to extract the position and pose of vehicles in the 3D world from a single traffic camera.
no code implementations • 2 Dec 2020 • Zhong Cao, Shaobing Xu, Songan Zhang, Huei Peng, Diange Yang
This paper proposes a driving-policy adaptive safeguard (DPAS) design, including a collision avoidance strategy and an activation function.