36 citations · 44 across the 15 of their papers we have counts for
7 papers · 1 filter
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…
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…
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow
Liguo Zhou, Yinglei Song, Yichao Gao +10
Conducting real road testing for autonomous driving algorithms can be expensive and sometimes impractical, particularly for small startups and research institutes. Thus, simulation…
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving
Haichuan Li, Liguo Zhou, Alois Knoll
Autonomous driving has been an active area of research and development, with various strategies being explored for decision-making in autonomous vehicles. Rule-based systems, decis…
Autonomous Driving Simulator based on Neurorobotics Platform
Wei Cao, Liguo Zhou, Yuhong Huang +1
There are many artificial intelligence algorithms for autonomous driving, but directly installing these algorithms on vehicles is unrealistic and expensive. At the same time, many…