2020
Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data
RA-L 2020
The Tactical Driver Behavior modeling problem requires an understanding of driver actions in complicated urban scenarios from rich multimodal signals including video, LiDAR and CAN signal data streams. However, the majority of deep learning research is focused either on learning the vehicle/environm