VistaGPT: Generative parallel transformers for vehicles with intelligent systems for transport automation

Y Tian, X Li, H Zhang, C Zhao, B Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Diverse transport demands have resulted in the wide existence of heterogeneous vehicle
automation systems. While these systems have demonstrated effectiveness, they also pose …

Ir design for application-specific natural language: a case study on traffic data

W Hu, X Wang, D Wang, S Yao, Z Mao, L Li… - arxiv preprint arxiv …, 2023 - arxiv.org
In the realm of software applications in the transportation industry, Domain-Specific
Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various …

Integration of Decision-Making and Motion Planning for Autonomous Driving Based on Double-Layer Reinforcement Learning Framework

Y Liao, G Yu, P Chen, B Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous driving involves multi-timescale and multi-objective tasks coupled with long-
term driving decision and short-term motion planning. However, existing studies tend to …

Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections

D Chen, R Zhong, K Chen, Z Shang, M Zhu… - arxiv preprint arxiv …, 2024 - arxiv.org
Planning safe and efficient trajectories through signal-free intersections presents significant
challenges for autonomous vehicles (AVs), particularly in dynamic, multi-task environments …

VRSO: Visual-Centric Reconstruction for Static Object Annotation

C Yu, Y Cai, J Zhang, H Kong, W Sui… - arxiv preprint arxiv …, 2024 - arxiv.org
As a part of the perception results of intelligent driving systems, static object detection (SOD)
in 3D space provides crucial cues for driving environment understanding. With the rapid …