Published: 29 September 2016
According to media coverage, Bright Box’s Remoto Pilot, will feature self-driving car retrofit solution with a neural network that learns extreme driving through computer games.
According to website of Remoto Pilot— Autonomous Driving
- Fully autonomous or driver assisting operation
- Integration of stereo vision and advanced machine learning techniques, such as convolutional neural networks with deep learning, to enable real-time assessment of road situation
- Safe and reliable road/lane following, real-time detection and avoidance of various obstacles, such as cars, pedestrians etc.
- Integration of stereo vision system with Global Navigation Satellite System (GNSS) and high definition (HD) maps to enable fully autonomous car operation
According to Venture Beat:
Bright Box’s Remoto Pilot emphasizes safe, reliable road/lane following as well as real-time detection and avoidance of various obstacles such as cars and pedestrians. It may sound crazy, but it makes a lot of sense to use games like Grand Theft Auto V to train a computer for a driverless car. After all, you can practice over and over in a simulated game before you take the risk of driving on a real road.
Remoto Pilot uses stereo vision in combination with advanced computer vision algorithms based on neural networks. Combined with the use of Global Navigation Satellite System (GNSS) and high-definition (HD) maps, this technology enables fully autonomous car operation, the company said.