84 citations
- Chongqing UniversityCN3 papers
- Chongqing Normal UniversityCN2 papers
- Beijing Institute of TechnologyCN1 paper
- Carnegie Mellon UniversityUS1 paper
- China Automotive Engineering Research InstituteCN1 paper
- CRRC (China)CN1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Hunan UniversityCN1 paper
- Johannes Kepler University of LinzAT1 paper
- Oulu University of Applied SciencesFI1 paper
- Paris-Est SupFR1 paper
- Tongji UniversityCN1 paper
7 papers
On the Equilibrium between Feasible Zone and Uncertain Model in Safe Exploration
Yujie Yang, Zhilong Zheng, Shengbo Eben Li
Ensuring the safety of environmental exploration is a critical problem in reinforcement learning (RL). While limiting exploration to a feasible zone has become widely accepted as a…
Innovative Design of Multi-functional Supernumerary Robotic Limbs with Ellipsoid Workspace Optimization
Jun Huo, Jian Huang, Jie Zuo +4
Supernumerary robotic limbs (SRLs) offer substantial potential in both the rehabilitation of hemiplegic patients and the enhancement of functional capabilities for healthy individu…
SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systems
Peter Manzl, Alexander Humer, Qasim Khadim +1
In computational engineering, enhancing the simulation speed and efficiency is a perpetual goal. To fully take advantage of neural network techniques and hardware, we present the S…
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…
No driver, No Regulation? --Online Legal Driving Behavior Monitoring for Self-driving Vehicles
Wenhao Yu, Chengxiang Zhao, Jiaxin Liu +7
Defined traffic laws must be respected by all vehicles. However, it is essential to know which behaviors violate the current laws, especially when a responsibility issue is involve…
A feature-supervised generative adversarial network for environmental monitoring during hazy days
Ke Wang, Siyuan Zhang, Junlan Chen +2
The adverse haze weather condition has brought considerable difficulties in vision-based environmental applications. While, until now, most of the existing environmental monitoring…