Training of vehicles to improve autonomous capabilities
Systems and methods to improve performance, reliability, learning and safety and thereby enhance autonomy of vehicles. Human sensors are used to capture human eye movement, hearing, hand grip and contact area, and foot positions. Event signatures corresponding to human actions, reactions and responses are extracted form these sensor values and correlated to events, status and situations acquired using vehicle and outside environment sensors. These event signatures are then used to train vehicles to improve their autonomous capabilities. Human sensors are vehicle mounted or frame mounted. Signatures obtained from events are classified and stored.
1. A system comprising: at least one imaging device configured to acquire images of at least one eye of a human subject operating a vehicle, a processing unit configured to process the acquired images to extract eye data from said images to form training data, the eye data corresponding to movement of the at least one eye and associated with at least one of: saccades, glissades, square-wave jerks, smooth pursuits, wherein the training data is used to train vehicles to become partially or fully autonomous or to improve their autonomous functioning, wherein the vehicle having a brake pedal and an accelerator pedal controlled by a foot of the human, and a wall behind these pedals, the training data further comprising foot data relating to: distance of the foot from the brake pedal, distance of the foot from the accelerator pedal, distance of the brake pedal from the wall behind it, and distance of the accelerator pedal from the wall behind it.
2. The system of claim 1 , wherein the eye data additionally corresponds to the position of the at least one eye associated with at least one of: fixations, tremors, drift, microsaccades.
3. The system of claim 1 , the training data further comprising hand data relating at least one of: the grip force or the contact area of at least one hand of the human on the steering wheel of the vehicle.
4. The system of claim 1 , the training data further comprising aural data.