Software-defined vehicles have been attracting increasing attentions owing to their impacts
on the ecosystem of the automotive industry in terms of technologies, products, services and …

Autonomous driving has recently gained lots of attention due to its disruptive potential and
impact on the global economy; however, these high expectations are hindered by strict …

With the development of science and technology, self-driving technology is gradually being
applied to automobile semi-trailer trains. Aiming at the problem that it is challenging to plan …

Risk assessment is important for intelligent vehicles to make safe driving decisions. In some
researches, the risk is modeled as the effect of each environment element on the ego …

Technical route decision making of intelligent driving has always been the focus of attention
of automotive enterprises and even the industry. Firstly, this study combs the main technical …

An automated vehicle (AV) must always have a correct representation of the drivable space
to position itself accurately and operate safely. To determine the drivable space, current …

Autonomous driving (AV) has been intensively researched over the last decade. In this
paper, we introduce an open autonomous driving software stack to enable faster design …

Autonomous vehicles (AV) technology is designed for replacing conventional transportation
systems ahead of energy conservation, pollution control, accident prevention, etc. The …

Conflict detection based on predicted vehicle trajectories is critical for safe and efficient self-
driving cars. Predicted trajectories are inherently uncertain due to the heterogeneity of …

The perception system is a key component of automated vehicles, as it relies on onboard
sensors to gather information. However, the system faces challenges due to occlusions that …