Abstract: Transfer learning is a proven technique in 2D computer vision to leverage the large amount of data available and achieve high performance with datasets limited in size due to the cost of ...
Abstract: Map-free LiDAR localization systems accurately localize within known environments by predicting sensor position and orientation directly from raw point clouds, eliminating the need for large ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
According to Sawyer Merritt, Rivian CEO RJ Scaringe stated in a new interview that the company is integrating LiDAR with cameras and radar in its self-driving vehicles to address the current ...
Rivian just threw down the hammer and implied Tesla is dead wrong about making self-driving cars with just the use of cameras. During the automaker’s AI and Autonomy Day in Palo Alto California on ...
Rivian detailed Thursday how it plans to make its electric vehicles increasingly autonomous — an ambitious effort that includes new hardware, including lidar and custom silicon, and eventually, a ...
As promised, we are here in Palo Alto, California, live at Rivian’s inaugural AI and Autonomy day, which the American automaker has been teasing for a month now. The event was filled with numerous ...
To make the iPhone as capable as it is, Apple equipped it with several sensors. One of these is the LiDAR scanner. LiDAR — short for Light Detection and Ranging — is a sensor that essentially measures ...
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