36 citations · 44 across the 15 of their papers we have counts for
16 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…
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…
YOLO-BEV: Generating Bird's-Eye View in the Same Way as 2D Object Detection
Chang Liu, Liguo Zhou, Yanliang Huang +1
Vehicle perception systems strive to achieve comprehensive and rapid visual interpretation of their surroundings for improved safety and navigation. We introduce YOLO-BEV, an effic…
Skipped Feature Pyramid Network with Grid Anchor for Object Detection
Li Pengfei, Wei Wei, Yan Yu +2
CNN-based object detection methods have achieved significant progress in recent years. The classic structures of CNNs produce pyramid-like feature maps due to the pooling or other…
Inverted Non-maximum Suppression for more Accurate and Neater Face Detection
Lian Liu, liguo Zhou
CNN-based face detection methods have achieved significant progress in recent years. In addition to the strong representation ability of CNN, post-processing methods are also very…
Sequential Spatial Network for Collision Avoidance in Autonomous Driving
Haichuan Li, Liguo Zhou, Zhenshan Bing +3
Several autonomous driving strategies have been applied to autonomous vehicles, especially in the collision avoidance area. The purpose of collision avoidance is achieved by adjust…
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…
Fast and Accurate Object Detection on Asymmetrical Receptive Field
Tianhao Lin
Object detection has been used in a wide range of industries. For example, in autonomous driving, the task of object detection is to accurately and efficiently identify and locate…
Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation
Hanzhen Zhang, Liguo Zhou, Ruining Wang +1
Using real road testing to optimize autonomous driving algorithms is time-consuming and capital-intensive. To solve this problem, we propose a GAN-based model that is capable of ge…
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…
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals
Rui Song, Liguo Zhou, Lingjuan Lyu +2
Federated learning enables cooperative training among massively distributed clients by sharing their learned local model parameters. However, with increasing model size, deploying…
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS
Rui Song, Liguo Zhou, Venkatnarayanan Lakshminarasimhan +2
Deep learning is a key approach for the environment perception function of Cooperative Intelligent Transportation Systems (C-ITS) with autonomous vehicles and smart traffic infrast…
UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments
Ye Yuan, Wenhan Yang, Wenqi Ren +3
The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…