Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving

1. 1Collect and preprocess video data of drivers
2. 2Implement the Efficient Mixture-of-Expert model for multi-task estimation
3. 3Train and fine-tune the model using the collected data
4. 4Evaluate the model's performance on driver state and physiological signal estimation

This research benefits AI engineers and researchers working on autonomous driving systems, as it provides a novel approach to estimating driver states and physiological signals, enhancing road safety

💡 The proposed model can efficiently estimate driver states and physiological signals from video data, enhancing road safety in conditional autonomous driving

💡 New Efficient Mixture-of-Expert model for video-based driver state estimation in autonomous driving!