The pursuit of autonomous driving relies on developing perception systems capable of
making accurate, robust, and rapid decisions to interpret the driving environment effectively …

In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

In this paper, we propose a 3D object detection method called MMAF-Net that is based on
the multi-view and multi-stage adaptive fusion of RGB images and LiDAR point cloud data …

Autonomous driving perception relies on standard sensors such as color cameras and
LiDAR, but each sensor has limitations when sensing complex and diverse environments …

Autonomous vehicles rely extensively on onboard sensors to perceive their surrounding
environments for motion planning and vehicle control. Despite recent advancements …

Strong demand for autonomous vehicles and the wide availability of 3D sensors are
continuously fueling the proposal of novel methods for 3D object detection. In this paper, we …

Sensors (LiDAR, camera, radar, etc.) not only intelligentize vehicles in autonomous driving
systems but also can be set up at the intersection, on both sides of the road, to monitor all …

In mining environments, communication is blocked and the environment is complex, making
autonomous detection of robots much more difficult. However, due to the dangerous and …