Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach

no code implementations • 18 Jul 2019 • Neslihan Kose, Okan Kopuklu, Alexander Unnervik, Gerhard Rigoll

Experiments show that our approach outperforms the state-of-the art results on the Distracted Driver Dataset (96. 31%), with an accuracy of 99. 10% for 10-class classification while providing real-time performance.

Action Recognition Autonomous Vehicles +1