activity
20182023
most citedHybrid Car-Following Strategy based on Deep Deterministic Policy Gradient and Cooperative Adaptive Cruise Control

70 citations · 142 across the 16 of their papers we have counts for

collaborators
Showing cs.ROShow all

6 papers · 1 filter

cs.RO2023

Dynamically Conservative Self-Driving Planner for Long-Tail Cases

Weitao Zhou, Zhong Cao, Nanshan Deng +3

Self-driving vehicles (SDVs) are becoming reality but still suffer from "long-tail" challenges during natural driving: the SDVs will continually encounter rare, safety-critical cas…

cs.RO2023

Poses as Queries: Image-to-LiDAR Map Localization with Transformers

Jinyu Miao, Kun Jiang, Yunlong Wang +6

High-precision vehicle localization with commercial setups is a crucial technique for high-level autonomous driving tasks. Localization with a monocular camera in LiDAR map is a ne…

cs.RO2022★ 2 cited

Map Container: A Map-based Framework for Cooperative Perception

Kun Jiang, Yining Shi, Benny Wijaya +4

The idea of cooperative perception is to benefit from shared perception data between multiple vehicles and overcome the limitations of on-board sensors on single vehicle. However,…

cs.RO2022★ 27 cited

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles

Jiaxin Liu, Wenhui Zhou, Hong Wang +6

Self-driving vehicles have their own intelligence to drive on open roads. However, vehicle managers, e.g., government or industrial companies, still need a way to tell these self-d…

cs.RO2020★ 2 cited

Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning

Zhong Cao, Shaobing Xu, Songan Zhang +2

Safeguard functions such as those provided by advanced emergency braking (AEB) can provide another layer of safety for autonomous vehicles (AV). A smart safeguard function should a…

cs.RO2018★ 5 cited

Monocular Vehicle Self-localization method based on Compact Semantic Map

Zhongyang Xiao, Kun Jiang, Shichao Xie +3

High precision localization is a crucial requirement for the autonomous driving system. Traditional positioning methods have some limitations in providing stable and accurate vehic…