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Multimodal Driver Referencing: A Comparison of Pointing to Objects Inside and Outside the Vehicle
Advanced in-cabin sensing technologies, especially vision based approaches, have tremendously progressed user interaction inside the vehicle, paving the way for new applications of natural user interaction.
Multimodal Fusion Using Deep Learning Applied to Driver's Referencing of Outside-Vehicle Objects
We demonstrate the practical limitations of each modality when used for a natural form of referencing, specifically inside the car.
Joint Detection and Tracking in Videos with Identification Features
Notably, our joint optimization maintains the detector performance, a typical multi-task challenge.
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