Artificial potential fields and optimal controllers are two common methods for path planning
of autonomous vehicles. An artificial potential field method is capable of assigning different …

Path planning is one of the most crucial technologies for autonomous driving. An improved
artificial potential field method considering vehicle velocity for path planning is presented in …

The path planning of unmanned differential steering vehicles (UDSVs) in the off-road
environment not only needs to consider the non-complete constraints of vehicles but also …

Potential field theory, as a theory that can also be applied to vehicle control, is an emerging
risk quantification approach to accommodate the connected and self-driving vehicle …

The autonomous driving industry is expected to grow by over 20 times in the coming decade
and, thus, motivate researchers to delve into it. The primary focus of their research is to …

We introduce an approach for automated driving in highway scenarios based on a two-level
hierarchical architecture. The high-level consists of a path planner implemented through a …

Human assist control for a control system driven by a human operator attracts much
attention, and we have proposed a human assist control strategy by using a control barrier …

Advanced driver assistance systems should not only make the driving experience safer and
more comfortable, it should also have a positive effect on driving behaviors. In this paper, an …

The work described in this paper proposes a new strategy for personalizing lane change
assistance systems (LCAS) in intelligent vehicles. This strategy takes into account the …

This study presents an adaptive motion planning strategy for automated vehicle collision
avoidance systems to be associated with the variation of collision speed region based on …