most citedDomain Adaptive Object Detection for Autonomous Driving under Foggy Weather

7 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO20222 cited

Automated Driving Systems Data Acquisition and Processing Platform

Xin Xia, Zonglin Meng, Xu Han +5

This paper presents an automated driving system (ADS) data acquisition and processing platform for vehicle trajectory extraction, reconstruction, and evaluation based on connected…

cs.RO20223 cited

BTO-RRT: A rapid, optimal, smooth and point cloud-based path planning algorithm

Zhaoliang Zheng, Thomas R. Bewley, Falko Kuester +1

This paper explores a rapid, optimal smooth path-planning algorithm for robots (e.g., autonomous vehicles) in point cloud environments. Derivative maps such as dense point clouds,…

cs.CV20227 cited

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

Jinlong Li, Runsheng Xu, Jin Ma +3

Most object detection methods for autonomous driving usually assume a consistent feature distribution between training and testing data, which is not always the case when weathers…

eess.IV20222 cited

ROMNet: Renovate the Old Memories

Runsheng Xu, Zhengzhong Tu, Yuanqi Du +5

Renovating the memories in old photos is an intriguing research topic in computer vision fields. These legacy images often suffer from severe and commingled degradations such as cr…

cs.CR20223 cited

Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks

Ziwen Wan, Junjie Shen, Jalen Chuang +4

In high-level Autonomous Driving (AD) systems, behavioral planning is in charge of making high-level driving decisions such as cruising and stopping, and thus highly securitycritic…