Augmented LiDAR simulator for autonomous driving
In Autonomous Driving (AD), detection and tracking of obstacles on the roads is a critical
task. Deep-learning based methods using annotated LiDAR data have been the most widely …
task. Deep-learning based methods using annotated LiDAR data have been the most widely …
LiDAR-CS dataset: LiDAR point cloud dataset with cross-sensors for 3D object detection
Over the past few years, there has been remarkable progress in research on 3D point clouds
and their use in autonomous driving scenarios has become widespread. However, deep …
and their use in autonomous driving scenarios has become widespread. However, deep …
A dynamic zone estimation method using cumulative voxels for autonomous driving
Obstacle avoidance and available road identification technologies have been investigated
for autonomous driving of an unmanned vehicle. In order to apply research results to …
for autonomous driving of an unmanned vehicle. In order to apply research results to …