Autonomous, or self-driving, cars are emerging as the solution to several problems primarily
caused by humans on roads, such as accidents and traffic congestion. However, those …

Autonomous driving has shown great potential to reform modern transportation. Yet its
reliability and safety have drawn a lot of attention and concerns. Compared with traditional …

We present a new approach to automated scenario-based testing of the safety of
autonomous vehicles, especially those using advanced artificial intelligence-based …

Autonomous driving related researches require the analysis and usage of massive amounts
of driving scenario data. Compared to raw data collected by sensors, scenario data provide …

Automated Driving Systems (ADS) have made great achievements in recent years thanks to
the efforts from both academia and industry. A typical ADS is composed of multiple modules …

Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …

Autonomous driving (AD) is getting closer to our life, but the severe traffic accidents of
autonomous vehicle (AV) happened in the past several years warn us that the safety of AVs …

A reliable critical-scenario-based safety assessment of autonomous vehicles in China
requires a thorough understanding of complex crash scenarios in Chinese background …

Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed
in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse …

We consider the task of traffic scene generation. A common approach in the self-driving
industry is to use manual creation to generate scenes with specific characteristics and …