RAW DATA,

FUSED TO
PERCEPTION

VAYAVISION brings autonomous vehicle perception to new heights.

By applying our AI and computer vision algorithms to raw data fused from radar, lidar and camera, we build the most accurate 3D environmental model.

MOST ACCURATE

ENVIRIONMENTAL MODEL

HIGH RESOLUTION
RGBd MODEL

DEEP
LEARNING

COMPUTER VISION
ALGORITHMS

ACCURATE & RELIABLE
ENVIRONMENTAL
MODEL

Deep learning and computer vision algorithms are applied to the upsampled high-resolution 3D model, resulting in remarkably accurate and reliable detection and classification. All information pertaining to the size, shape and velocity of every surrounding object, including small obstacles, can be viewed and analyzed.

DEEP TECH
RAW DATA FUSION WITH

UPSAMPLING

Lidar, Radar and camera are perfectly calibrated and synchronized to receive exact pixel-level matching. Sparse low-resolution data samples from the lidar and radar images are upsampled to HD quality, enabling to assign depth and speed information to every pixel resulting in HD RGBd model.

SAFER
AUTONOMOUS
DRIVING

WITH HIGHEST
DETECTION

Our novel approach comes with Inherent functional safety, detecting object and dangers even during a sensor malfunction.

VAYAVISION excels at detecting even unknown objects that are absent from training data set.

BEST AV PERCEPTION

AT LOW SYSTEM COST

Cost-effective fusion-based solution with upsampling is low on computational requirements, delivering the most reliable and accurate environmental model using a low-cost, low-resolution distance sensor.