Point cloud semantic segmentation technology for road scenes plays an important role in the field of autonomous driving. However, accurate semantic segmentation of large-scale and non-uniformly dense ...
Abstract: Currently, automatic driving represents the primary application area for LiDAR point clouds, with 3D object detection being a crucial task for achieving autonomous navigation. However, the ...
SimActive Inc. has played a pivotal role in the evolution of geospatial data processing since its founding in 2003. Leading the company is Dr. Philippe Simard, a pioneer in the industry with a ...
A video came out last week comparing two approaches to autonomous vehicles: cameras and LiDAR. The video was fun, as YouTube videos are wont to be, but the fallout from it has been anything but fun, ...
ABSTRACT: Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...
Seamlessly configure, manage, and view Ouster Gemini lidar deployments in unified interface View real-time data and analytics anytime from a web-based browser Available immediately to all Ouster ...
Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...
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