6 papers · 1 filter
A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach
Jia Hu, Yang Chang, Haoran Wang
Motion planning for autonomous driving (AD) faces a critical trade-off. While traditional rule-based pipelines offer verifiable safety and interpretability, they often fail to gene…
Human-Machine Shared Control Approach for the Takeover of CACC
Haoran Wang, Zhexi Lian, Zhenning Li +5
Cooperative Adaptive Cruise Control (CACC) often requires human takeover for tasks such as exiting a freeway. Direct human takeover can pose significant risks, especially given the…
Vehicles Swarm Intelligence: Cooperation in both Longitudinal and Lateral Dimensions
Jia Hu, Nuoheng Zhang, Haoran Wang +3
Longitudinal-only platooning methods are facing great challenges on running mobility, since they may be impeded by slow-moving vehicles from time to time. To address this issue, th…
Safety-Aware Human-Lead Vehicle Platooning by Proactively Reacting to Uncertain Human Behaving
Jia Hu, Shuhan Wang, Yiming Zhang +3
Human-Lead Cooperative Adaptive Cruise Control (HL-CACC) is regarded as a promising vehicle platooning technology in real-world implementation. By utilizing a Human-driven Vehicle…
Space Domain based Ecological Cooperative and Adaptive Cruise Control on Rolling Terrain
Mingyue Lei, Haoran Wang, Lu Xiong +4
Cooperative and Adaptive Cruise Control (CACC) is widely focused to enhance driving fuel-efficiency by maintaining a close following gap. The ecology of CACC could be further enhan…
Mirroring the Parking Target: An Optimal-Control-Based Parking Motion Planner with Strengthened Parking Reliability and Faster Parking Completion
Jia Hu, Yongwei Feng, Shuoyuan Li +3
Automated Parking Assist (APA) systems are now facing great challenges of low adoption in applications, due to users' concerns about parking capability, reliability, and completion…