There was a time when self-driving cars taking over the roads was a distant vision. Today, the situation has changed dramatically. Although autonomous vehicles (AVs) took longer than expected to make ...

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 ...

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 ...

The automotive industry continues to be a hotbed of innovation, with activity driven by developments in artificial technology and machine learning, and growing importance of technologies such as ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

SiLC Technologies’ Eyeonic vision sensor can perceive, identify, and avoid objects at a range of more than 1 kilometer. Having previously demonstrated a detection range of 500 meters earlier this year ...

Ultrasonic close-range sensors have joined radar in the trash bin over at Tesla, which going forward will build its cars with only cameras onboard to power its driver assistance and collision ...