most citedPlanning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2023

Study on the Impacts of Hazardous Behaviors on Autonomous Vehicle Collision Rates Based on Humanoid Scenario Generation in CARLA

Longfei Mo, Min Hua, Hongyu Sun +3

Testing of function safety and Safety Of The Intended Functionality (SOTIF) is important for autonomous vehicles (AVs). It is hard to test the AV's hazard response in the real worl…

cs.RO20231 cited

Coordinated Control of Path Tracking and Yaw Stability for Distributed Drive Electric Vehicle Based on AMPC and DYC

Dongmei Wu, Yuying Guan, Xin Xia +5

Maintaining both path-tracking accuracy and yaw stability of distributed drive electric vehicles (DDEVs) under various driving conditions presents a significant challenge in the fi…

cs.RO20231 cited

Multi-level decision framework collision avoidance algorithm in emergency scenarios

Guoying Chen, Xinyu Wang, Min Hua +1

With the rapid development of autonomous driving, the attention of academia has increasingly focused on the development of anti-collision systems in emergency scenarios, which have…

cs.RO20232 cited

A Systematic Survey of Control Techniques and Applications in Connected and Automated Vehicles

Wei Liu, Min Hua, Zhiyun Deng +10

Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger co…

eess.SY20233 cited

Planning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario

Guoying Chen, Min Hua, Wei Liu +3

Full drive-by-wire electric vehicles (FDWEV) with X-by-wire technology can achieve independent driving, braking, and steering of each wheel, providing a good application platform f…

cs.LG2022

Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning

Min Hua, Zhi Li, Quan Zhou

The future transportation system will be a multi-agent network where connected AI agents can work together to address the grand challenges in our age, e.g., mitigation of real-worl…