Toyota Jidosha Kabushiki Kaisha

Toyota Research Institute, Inc.

James A Dallas

Michael Thompson

Minoru Brandon Araki

Avinash Balachandran

Yan Ming Jonathan Goh

Hanh Nguyen

Yan Ming Goh

Izumi Karino

Phung Xuan Nguyen

Systems and methods provide for corrective assistance to maintain a stable controllable drift, while permitting a drift driving experience for the driver. Examples of the systems and methods disclosed herein include receiving first data corresponding to a current operational state of a vehicle while performing a controllable drift; receiving a request to operate the vehicle in a requested operational state; determining that the requested operational state exceeds a threshold operational state associated with an uncontrollable drift; and, in response to the determination, providing corrective assistance to operate the vehicle in a corrective operational state to prevent the vehicle from entering an uncontrollable drift.

Systems and methods for preventing uncontrollable vehicle drift

Systems and methods are provided for dynamic driver training, and may include: a communication interface to receive sensor data, the sensor data comprising driver biometric data and driver performance data for a driver operating a vehicle; a driver inference circuit to infer a skill level and emotional state of the driver operating the vehicle; and a driver training circuit to, based on the inferred skill level and emotional state of the driver operating the vehicle, dynamically adjust a driver training level for the driver while the driver is operating the vehicle.

Adaptive dynamic driver training systems and methods

Growing community of inventors

Mountain View, CA, United States of America

James A Dallas