Autonomous driving perception has made significant strides in recent years, but accurately
sensing the environment using a single sensor remains a daunting task. This review offers a …

This paper is focused on planning fast, accurate, and optimal trajectories for autonomous
parking. Nominally, this task should be described as an optimal control problem (OCP) …

Real-time kinodynamic trajectory planning in dy-namic environments is critical yet
challenging for autonomous driving. In this paper, we propose an efficient trajectory plan …

As a fundamental component of autonomous driving systems, motion planning has garnered
significant attention from both academia and industry. This paper focuses on efficient and …

This paper introduces an autonomous parking trajectory planning method in an unstructured
environment with narrow passages. The proposed hierarchical trajectory planner consists of …

Trajectory planning is a critical function in an autonomous vehicle, which is about generating
a local spatio-temporal curve with safety, traverse efficiency, and comfort factors considered …

For letting mobile robots travel flexibly through complicated environments, increasing
attention has been paid to the whole-body collision evaluation. Most existing works either …

Traffic situations with interacting participants pose difficulties for today's autonomous
vehicles to interpret situations and eventually achieve their own mission goal. Interactive …

Modular integrated construction (MiC) is the most advanced construction method that
involves off‐site manufacturing, factory‐to‐site transportation, and on‐site assembly of free …

This article outlines the architecture of autonomous driving and related complementary
frameworks from the perspective of human comfort. The technical elements for measuring …