7 papers
Timed Rule-Based Supervision of an End-to-End Autonomous Parking Policy
Kejia Gao, Liguo Zhou, Lei Yu +1
We study whether a manually specified runtime supervisor can correct recurring failures of an existing end-to-end parking policy in a fixed CARLA parking lot. The vision-based Tran…
S2Planner: Multi-Scale Semantic Planner for End-to-End Autonomous Driving
Zhaowei Lu, Liguo Zhou, Yujie Guo +2
We present S2Planner, a trajectory planner that combines three front-facing cameras with ego-motion history and the current driving command. A fine-tuned DINOv3 backbone and a Spat…
Beyond the Vehicle: Cooperative Localization by Fusing Point Clouds for GPS-Challenged Urban Scenarios
Kuo-Yi Chao, Ralph Rasshofer, Alois Christian Knoll
Accurate vehicle localization is a critical challenge in urban environments where GPS signals are often unreliable. This paper presents a cooperative multi-sensor and multi-modal l…
Diffusion-Augmented Markov Decision Processes for Maximum Entropy Reinforcement Learning
Sebastian Sanokowski, Kaustubh Patil, Majid Khadiv
Diffusion models provide an expressive framework for sampling from complex, unnormalized distributions. In this work, we extend Maximum Entropy Reinforcement Learning (ME-RL) to di…
E2E Parking Dataset: An Open Benchmark for End-to-End Autonomous Parking
Kejia Gao, Liguo Zhou, Mingjun Liu +1
End-to-end learning has shown great potential in autonomous parking, yet the lack of publicly available datasets limits reproducibility and benchmarking. While prior work introduce…
Residual Chain Prediction for Autonomous Driving Path Planning
Liguo Zhou, Yirui Zhou, Huaming Liu +1
In the rapidly evolving field of autonomous driving systems, the refinement of path planning algorithms is paramount for navigating vehicles through dynamic environments, particula…
Path Planning based on 2D Object Bounding-box
Yanliang Huang, Liguo Zhou, Chang Liu +1
The implementation of Autonomous Driving (AD) technologies within urban environments presents significant challenges. These challenges necessitate the development of advanced perce…