Urban planning and management need accurate three-dimensional (3D) data such as light
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …

As there come to be more applications of intelligent robots, their task object is becoming
more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …

Learning autonomous-driving policies is one of the most challenging but promising tasks for
computer vision. Most researchers believe that future research and applications should …

This paper presents a path-following and collision avoidance system for autonomous
surface vehicles based on nonlinear model predictive control. The proposed strategy is …

In the last decade, Light Detection and Ranging (LIDAR) became a leading technology of
detailed and reliable 3D environment perception. This paper gives an overview of the wide …

Object detection is an essential technology for surveillance systems, particularly in areas
with a high risk of accidents such as railway level crossings. To prevent future collisions, the …

Detection and tracking of moving objects (DATMO) in an urban environment using Light
Detection and Ranging (LiDAR) is a major challenge for autonomous vehicles due to sparse …

This paper presents a new method for urban scene analysis, which comprises 3D point
cloud registration and change detection through fusing Lidar point clouds with significantly …

Nowadays, the detection and automatic identification of the three-dimensional structure of
sinkholes is extremely lacking, which has resulted in significant gaps in sinkholes map** …

People in cities are suffering from traffic congestion and air pollution in daily life partly due to
a great number of private cars, and always face the danger of accidents, so autonomous …