130 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Jilin UniversityCN6 papers
- Tongji UniversityCN2 papers
- University of WaterlooCA2 papers
- Chinese Academy of SciencesCN1 paper
- Graz University of TechnologyAT1 paper
- Hong Kong Baptist UniversityHK1 paper
- Institute of AutomationCN1 paper
- National University of Defense TechnologyCN1 paper
- Sichuan UniversityCN1 paper
- Stanford UniversityUS1 paper
- Sun Yat-sen UniversityCN1 paper
- University of Chinese Academy of SciencesCN1 paper
6 papers
The Application of Driver Models in the Safety Assessment of Autonomous Vehicles: A Survey
Cheng Wang, Fengwei Guo, Ruilin Yu +2
Driver models play a vital role in developing and verifying autonomous vehicles (AVs). Previously, they are mainly applied in traffic flow simulation to model driver behavior. With…
Differential Galoisian approach to Jacobi integrability of general analytic dynamical systems and its application
Kaiyin Huang, Shaoyun Shi, Shuangling Yang
The Morales-Ramis theory provides an effective and powerful non-integrability criterion for complex analytical Hamiltonian systems via the differential Galoisian obstruction. In th…
ISETAuto: Detecting vehicles with depth and radiance information
Zhenyi Liu, Joyce Farrell, Brian Wandell
Autonomous driving applications use two types of sensor systems to identify vehicles - depth sensing LiDAR and radiance sensing cameras. We compare the performance (average precisi…
Tire Force Estimation in Intelligent Tires Using Machine Learning
Nan Xu, Hassan Askari, Yanjun Huang +2
The concept of intelligent tires has drawn attention of researchers in the areas of autonomous driving, advanced vehicle control, and artificial intelligence. The focus of this pap…
CenterNet3D: An Anchor Free Object Detector for Point Cloud
Guojun Wang, Jian Wu, Bin Tian +3
Accurate and fast 3D object detection from point clouds is a key task in autonomous driving. Existing one-stage 3D object detection methods can achieve real-time performance, howev…
Robust Learning-based Predictive Control for Discrete-time Nonlinear Systems with Unknown Dynamics and State Constraints
Xinglong Zhang, Jiahang Liu, Xin Xu +2
Robust model predictive control (MPC) is a well-known control technique for model-based control with constraints and uncertainties. In classic robust tube-based MPC approaches, an…