11/10/2018
At AutonomousTech we tackle the hardest technological challenges of the autonomous vehicle industry, such as this one:
Can your computer vision system handle tilting, rolling and agile manoeuvres between lanes and among cars?
If you’re building rider assistant systems for motorcycles, it must. Lior Cohen, CTO & Co-founder at Ride Vision, and speaker at AutonomousTech, writes: “Motorcycles are unique vehicles, possess unique behaviors, and have to be treated with particular algorithms. Our system employs a fusion of deep neural networks and computer vision techniques in combination with standard, off-the-shelf hardware. In addition, available space is much more constrained than in cars, so our fusion engine undergoes heavy optimizations that make it very cost-effective”. Want to hear more from Lior and other industry experts? Register to attend AutonomousTech: >>
https://tinyurl.com/y8kkrv9x