Prior autonomous navigation systems focused on the demonstration of the technological
feasibility. But as the technology evolves, improving user experience through learning …

Human-like driving is of great significance for safety and comfort of autonomous vehicles,
but existing trajectory planning methods for on-road vehicles rarely take the similarity with …

Autonomous driving has shown the capability of providing driver convenience and
enhancing safety. While introducing autonomous driving into our current traffic system, one …

The ultimate goal of self-driving technologies is to offer a safe and human-like driving
experience. As one of the most important enabling functionalities, trajectory planning has …

Trajectory planning has generally been framed as finding the lowest cost one from a set of
trajectory candidates, where the cost function has been hand-crafted with carefully tuned …

As autonomous-vehicle-related technologies tend to be mature, improving passengers'
experience by learning driving styles from human drivers becomes a promising research …

The successful integration of autonomous robots in real-world environments strongly
depends on their ability to reason from context and take socially acceptable actions. Current …

In this paper a generic framework for sampling-based partial motion planning along a
reference path is presented. The sampling mechanism builds on the specification of a …

As autonomous technologies in ground vehicle application begin to mature, there is a
greater acceptance that they can eventually exhaust human involvement in the driving …

In the coming decades, it is a universal consensus that autonomous vehicles (AVs) and
human-driven vehicles will share the traffic roads. Trajectory planning of AVs has been …