A survey on data-driven scenario generation for automated vehicle testing

J Cai, W Deng, H Guang, Y Wang, J Li, J Ding - Machines, 2022 - mdpi.com
Automated driving is a promising tool for reducing traffic accidents. While some companies
claim that many cutting-edge automated driving functions have been developed, how to …

A Review on Scenario Generation for Testing Autonomous Vehicles

J Cai, S Yang, H Guang - 2024 IEEE Intelligent Vehicles …, 2024 - ieeexplore.ieee.org
Autonomous driving holds great potential for reducing traffic accidents. Despite many
advancements in autonomous vehicle functions, challenges persist in assessing their safety …

面向无人驾驶的高精地图公开应用趋势研究

陈会仙, 章炜, 杨蒙蒙, 温拓朴, 刘杰… - 武汉大学学报(信息 …, 2024 - ch.whu.edu.cn
高精地图不仅支撑自动驾驶汽车的精准定位和精细路径规划, 辅助提高车端感知能力,
还可以有效弥补传感器的性能边界, 应对多种长尾场景. 因此, 高精地图成为现阶段实现L4/L5 …

Open Application Trend of High Definition Map for Unmanned Driving

H CHEN, W ZHANG, M YANG, T WEN, J LIU… - … Information Science of …, 2024 - ch.whu.edu.cn
High definition map not only supports the accurate positioning and fine path planning of
autonomous vehicles, assists in improving the perception capability of the vehicle end, but …

Acceleration Method for Hazardous Scenario Generation Based on Disengagement Cases

X Liu, Z Cao, X Li, Y Yang, K Jiang, D Yang - CICTP 2023, 2023 - ascelibrary.org
The autonomous vehicles (AV) driving policy is safety-critical and needs to be evaluated
efficiently before deployment. Disengagement cases during on-road testing, which means …