We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

The advancement in sensor technologies, mobile network technologies, and artificial
intelligence has pushed the boundaries of different verticals, eg, eHealth and autonomous …

The autonomous vehicle is regarded as a promising technology with the potential to
reshape mobility and solve many traffic issues, such as accessibility, efficiency …

The computational effort of trajectory planning for automated vehicles often increases with
the complexity of the traffic situation. This is particularly problematic in safety-critical …

Though automated vehicles (AVs) are believed to play a crucial role in future transport,
human driving vehicles will share the road with automated vehicles for a relatively long …

Efficient trajectory planning of autonomous vehicles in complex traffic scenarios is of interest
both academically and in automotive industry. Time efficiency and safety are of key …

Behavior and motion planning play an important role in automated driving. Traditionally,
behavior planners instruct local motion planners with predefined behaviors. Due to the high …

Trajectory planning is of vital importance to decision-making for autonomous vehicles.
Currently, there are three popular classes of cost-based trajectory planning methods …

Realizing autonomy is a hot research topic for automatic vehicles in recent years. For a long
time, most of the efforts to this goal concentrate on understanding the scenes surrounding …

In recent years, reachability analysis has gained considerable popularity in motion planning
and safeguarding of automated vehicles (AVs). While existing tools for reachability analysis …