3D depth-sensing cameras (also called Time of Flight cameras) are pivotal in the advancement of AI, with applications ranging from motion control sensing, to self-driving cars, to object avoidance in ...
NODAR, a leader in ultra-wide-baseline stereo vision for autonomous systems and intelligent machines, today announced the ...
Cornell researchers can use two inexpensive cameras on either side of the windshield to detect objects with nearly LiDAR’s accuracy and at a fraction of the cost. Currently, the LiDAR implementation ...
The proposed model adopts innovative strategies that enable it to accurately combine 3D LiDAR data with 2D images, leading to a significantly better performance than state-of-the-art models for small ...
Hosted on MSN
Revolutionizing 3D vision: How miniaturized snapshot polarization imaging is transforming depth sensing
Capturing precise 3D details with a single camera has long been a challenge. Traditional methods often require complex dual-camera setups or specialized lighting conditions that are impractical for ...
A new category of sensing technology transforms mobile robot vision from 2D to 3D, improves safety performance and provides 50-80% cost savings compared to traditional, LiDAR-based systems and sensor ...
At least one of this year’s iPhones will feature a 3D depth camera on its back, a source with knowledge confirms to Fast Company. The camera—actually a laser, sensor, and software system—emits light ...
Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results