OUR SOLUTION

Scalable. Smart. Connected. Guard.

Forest AI is aiming to create the first low cost in-vehicle driving scenario collection system, Guard, of which the primary goal is to enable crowdsourcing as a method of data collection for on-road traffic scenarios. Facilitating this method of data collection will accelerate the validation of self-driving vehicles by providing realistic domain specific driving scenarios at scale which can be used in autonomous vehicle simulation systems to ensure the behavioural competency of self-driving cars. In addition, the scalability of the platform will unlock the massive amount of edge-case driving scenarios of which self-driving cars are inevitably going to encounter on the road. The two-part system is comprised of a user friendly in-vehicle sensor suite in addition to a cloud-based video annotation and data storage system managed by Forest AI.