Real-time Prediction of Automotive Collision Risk from Monocular Video

no code implementations • 4 Feb 2019 • Derek J. Phillips, Juan Carlos Aragon, Anjali Roychowdhury, Regina Madigan, Sunil Chintakindi, Mykel J. Kochenderfer

Many automotive applications, such as Advanced Driver Assistance Systems (ADAS) for collision avoidance and warnings, require estimating the future automotive risk of a driving scene.

Collision Avoidance Object +3

Real-time Prediction of Intermediate-Horizon Automotive Collision Risk

no code implementations • 5 Feb 2018 • Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer

Advanced collision avoidance and driver hand-off systems can benefit from the ability to accurately predict, in real time, the probability a vehicle will be involved in a collision within an intermediate horizon of 10 to 20 seconds.

Collision Avoidance Domain Adaptation