Deep learning and computer vision algorithms are applied to the upsampled high-resolution colored 3D model (RGBd), resulting in remarkably accurate and reliable detection and classification.
VayaVision developed a patented technology that enables 3D sensing and cognition for the autonomous driving market at an affordable price. Autonomous cars need to see and understand the world around them. Low-cost camera solutions are not reliable enough, and LiDAR systems are very reliable but extremely expensive. VayaVisions solution provides quality that is comparable to that of the LiDAR at the cost of the camera-based system. The company's electro-optic sensor fusion technology and proprietary algorithms provide significantly improved sensing capabilities without exorbitant costs.
B2B
26 to 50
Funded
$10.8 M
Scaling Up
2016
Renewables & Environment
Environmental Services
Autonomous Vehicle
Safer Autonomous Driving
AV Perception
Data Fusion with Upsampling
Service
Yes
Active
Machine Learning
Natural Language Processing
N/A
Software
N/A
Tech Lead/Principal Algorithm Researcher - Computer Vision
Toronto, Ontario
Senior Sofware Developer, Perception/Autonomous Driving
Toronto, Ontario
Application Engineer - LiDAR and Perception Software
Montreal, Quebec
Python Developer
Montreal, Quebec
Data Engineer
Yehud, Yehud
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