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Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Multisensory polices are known to enhance both state estimation and target tracking.
Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data
The Tactical Driver Behavior modeling problem requires understanding of driver actions in complicated urban scenarios from a rich multi modal signals including video, LiDAR and CAN bus data streams.
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