Computer Vision for Robotics and Autonomous Driving
We teach computers to see like humans do
... just based on cameras & Artificial Intelligence by offering:
An innovative 3D Depth sensor that is cost-effective, real-time capable and with a big field-of-view under high-resolution
A robust Freespace Detection against arbitrary obstacles
A full collision avoidance system for Robotics and Autonomous Driving
Our Perception System
Our perception system will extract the 3D depth and further information from two camera sensors only. Here we have a little teaser that shows the free driveable space (green) that is extracted in real-time with our system.
* actual aiVis Freespace Detection in real-time
What we do
We develop a solution that uses camera sensors combined with Artificial Intelligence to enable a low cost perception system that is able to identify the environment in a detailed and reliable way.
Thereby we offer an innovative 3D Depth sensor that is based on two camera sensors only. This enables depth perception similar to real 3D LiDAR sensors, but with the advantage of being much more cost-effective, scalabe, real-time capable and with a big field-of-view under high-resolution. Furthermore it can be used as a redundancy against other 3D sensors e.g. Time-of-Flight cameras, LiDAR etc. for safety critical applications.
In combination with our robust Freespace Detecion System we can enable a full collision avoidance system that detects free-driveable space and all abitrary obstacles in the environment for robotics and autonomous vehicles.
aiVis is funded by the Federal Ministry of Economics and Energy and the European Social Fund as part of the EXIST start-up grant