A research-purposed, GUI-powered, Python-based framework that allows easy development of dynamic point-cloud (and accompanying image) data processing pipelines.
This repository provides an intuitive workflow to fuse data from these sensors, enabling precise projection of LiDAR points into the camera frame and offering an efficient approach to sensor fusion.
KYOTO, Japan--(BUSINESS WIRE)--Kyocera Corporation (President: Hideo Tanimoto; “Kyocera”) today announced the development of its unique Camera-LIDAR Fusion Sensor, the world's first 1 LIDAR ...
Camera-LIDAR Fusion Sensor – World’s Highest Resolution, High Durability LIDAR is an indispensable technology for mobility, including autonomous driving. Kyocera's Camera-LIDAR Fusion Sensor ...
KYOTO, Japan, January 07, 2025--(BUSINESS WIRE)--Kyocera Corporation (President: Hideo Tanimoto; "Kyocera") today announced the development of its unique Camera-LIDAR Fusion Sensor, the world's ...
AI-Based High-Res Depth Sensor for Close Imaging 10x More Accurate with Tiny, Transparent Objects, Towards Automation Functionality Kyocera's AI-Based Depth Sensor camera, offering world-record ...