Three-dimensional object detection is crucial for autonomous ... a point cloud 3D object detection method based on attention ...

Autonomous vehicles require object detection ... and then modified the YOLOv3 technique to detect 3D objects. Using both point cloud data and RGB images as input, the system generates bounding ...

This episode looks at the "point clouds" for 3D data visuals used in architecture, archaeology, and autonomous driving. Plus, robots learn new moves. Point cloud data is captured with LiDAR.

Ness Ziona, Israel, Nov. 19, 2024 (GLOBE NEWSWIRE) -- Foresight Autonomous ... (3D) point cloud that can be applied to different markets such as automotive, defense, autonomous vehicles and ...

Seoul Robotics has taken a divergent path on the road to commercializing autonomous vehicles ... as other data stored in the cloud and then sends that to vehicles. According to Seoul Robotics ...

In a potential advance for autonomous vehicles, researchers have developed a technique that allows AI programs to better map 3D spaces using 2D images captured by multiple cameras. Because the ...

A collaboration between Calyo, Benedex Robotics and Cranfield ... platform based on 3D ultrasound that operates effectively in even the challenging environmental conditions. The new technology is said ...

New Zealand-based agritech company Robotics Plus showcased its autonomous, multi-use, hybrid vehicle for agriculture ... allow Prospr to create detailed 3D maps of the surroundings and distinguish ...