Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Intelligent vehicles have increased their capabilities for highly and, even fully, automated
driving under controlled environments. Scene information is received using onboard …

In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

We present recent advancements of optical phased array LiDAR with record-performance
system demonstrations. First, we give an overview of the technology and how it combines …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

Boss is an autonomous vehicle that uses on‐board sensors (global positioning system,
lasers, radars, and cameras) to track other vehicles, detect static obstacles, and localize …

Intelligent connected vehicles (ICVs) are believed to change people's life in the near future
by making the transportation safer, cleaner and more comfortable. Although many …

Part I of this paper proposed a development process and a system platform for the
development of autonomous cars based on a distributed system architecture. The proposed …

Three-dimensional perception is a key technology for many robotics applications, including
obstacle detection, mapping, and localization. There exist a number of sensors and …

In this paper, we present an algorithm for generating complex dynamically feasible
maneuvers for autonomous vehicles traveling at high speeds over large distances. Our …