Over the years, deep reinforcement learning (DRL) has shown great potential in mapless
autonomous robot navigation and path planning. These DRL methods rely on robots …

Reliable laser imaging is crucial to the autonomous driving. In unfavorable weather
condition, however, it always suffers from the acute background noise and signal attenuation …

As common three-dimensional (3D) data, point clouds have wide application prospects in
many fields. The point cloud disorder problem is solved by the PointNet neural network …

This paper presents an integrated solution for 3D object detection, recognition, and
presentation to increase accessibility for various user groups in indoor areas through a …

At the forefront of automobile safety technology, Automatic Emergency Braking (AEB)
represents a major advancement in collision avoidance systems. The cutting-edge …

Real-time detection of 3D obstacles and recognition of humans and other objects is
essential for blind or lowvision people to travel not only safely and independently but also …

Real-time detection of 3D obstacles and recognition of humans and other objects is
essential for blind or low-vision people to travel not only safely and independently but also …

Natural disasters, such as earthquakes, hurricanes, and flooding, can cause significant
damage to roads and highways, leading to the formation of road obstacles that pose risks to …

As a common three-dimensional data, point cloud has full application prospects in many
fields. To overcome the disorder of the point cloud, PointNet uses a symmetric function, and …

Exploration and mapping of an unknown environment is a challenging task and using a
single robot is time consuming and inefficient. Multi Robot System (MRS) is used to reduces …