output
20172026
most citedThe Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China

84 citations

9 papers

cs.RO2026

UniCon: A Unified System for Efficient Robot Learning Transfers

Yunfeng Lin, Li Xu, Yong Yu +2

Deploying learning-based controllers across heterogeneous robots is challenging due to platform differences, inconsistent interfaces, and inefficient middleware. To address these i…

cond-mat.soft2025★ 2 cited

Revisiting the diffusion equation derivation in Persson's theory of contact

Yang Xu, Siyuan Yang, Yunong Zhou +1

In Persson's seminal work on tire-road interaction (Persson, J. Chem. Phys. {\bf 115}(8), 2001), he ingeniously derived a diffusion equation in Appendix B to characterize the evolu…

cs.RO2024★ 35 cited

Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors

Kunkun Hao, Yonggang Luo, Wen Cui +5

Evaluating the decision-making system is indispensable in developing autonomous vehicles, while realistic and challenging safety-critical test scenarios play a crucial role. Obtain…

cs.RO2021

Advanced Lane Detection Model for the Virtual Development of Highly Automated Functions

Philip Pannagger, Demin Nalic, Faris Orucevic +2

Virtual development and prototyping has already become an integral part in the field of automated driving systems (ADS). There are plenty of software tools that are used for the vi…

eess.SP2020★ 13 cited

A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk Estimation

Junlan Chen, Ke Wang, Huanhuan Bao +1

Cooperative overtaking is believed to have the capability of improving road safety and traffic efficiency by means of the real-time information exchange between traffic participant…

cs.HC2020★ 84 cited

The Adaptability and Challenges of Autonomous Vehicles to Pedestrians in Urban China

Ke Wang, Gang Li, Junlan Chen +4

China is the world's largest automotive market and is ambitious for autonomous vehicles (AVs) development. As one of the key goals of AVs, pedestrian safety is an important issue i…

cs.LG2020★ 6 cited

Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation

Xuming Ran, Mingkun Xu, Lingrui Mei +2

Variational autoencoders (VAEs) are influential generative models with rich representation capabilities from the deep neural network architecture and Bayesian method. However, VAE…

cs.CV2018

Two-stage iterative Procrustes match algorithm and its application for VQ-based speaker verification

Richeng Tan, Jing Li

In the past decades, Vector Quantization (VQ) model has been very popular across different pattern recognition areas, especially for feature-based tasks. However, the classificatio…

cs.RO2017★ 27 cited

3D Vision Guided Robotic Charging Station for Electric and Plug-in Hybrid Vehicles

Justinas Miseikis, Matthias Ruther, Bernhard Walzel +2

Electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) are rapidly gaining popularity on our roads. Besides a comparatively high purchasing price, the main two problems limiti…