Self-driving cars, or autonomous vehicles ... The model was first used for 2D object detection and then modified for 3D objects," he elaborates. The team fed the collected RGB images and point ...

Robots and autonomous vehicles can ... Since both robots and self-driving cars need to accurately perceive their surroundings, 3D object detection methods are an active area of study.

Autonomous vehicles hold ... deep learning object detection technique, which is the most active state-of-the-art technique available for 2D visual detection. The researchers first used this ...

An international research team claims it has created a system for self-driving vehicles ... able to detect other 2D and 3D objects with an accuracy greater than 96%. "For autonomous vehicles ...

A DGIST team developed PINMAP, a cost-effective algorithm enabling low-cost LiDAR sensors to detect glass obstacles, ...

Using a newly developed verification framework, researchers have uncovered safety limitations in open-source self-driving ...

The car, which the driver says was engaged in Tesla’s driver-assist Full-Self Driving (FSD ... and play on deep underlying anxieties around autonomous vehicle safety. Less than one in four ...

A conventional LiDAR (or Light Detection and Ranging ... that the LiDAR system generates is 3D, many autonomous driving systems convert it into 2D before using it to navigate.

Self-driving cars, or autonomous vehicles ... that YOLOv3 achieved an extremely high accuracy of detection (>96%) for both 2D and 3D objects, outperforming other state-of-the-art detection ...