Demo: Driver Gaze-Aware Adaptive LiDAR Sensing for Advanced Driver Assistance Systems
Light detection and ranging (LiDAR) plays a crucial role in machine perception for advanced driver assistance systems. Existing LiDARs, however, do not adapt their sensing strategy to complement driver's perception. We demonstrate a novel LiDAR prototype that dynamically adapts its range and resolution over the field of view, according to real-time driver gaze. Our gaze-aware LiDAR emphasizes scanning peripheral zones the driver may overlook, i.e., critical areas during driving. Our demonstration showcases enhanced perception, highlighting the potential of hybrid human-machine sensing for safer driving.
Authors
- Arkady Zgonnikov (ORCID: https://orcid.org/0000-0002-6593-6948)
- Nitin Jonathan Myers (ORCID: https://orcid.org/0000-0002-5681-819X)
- Quan Chen (ORCID: https://orcid.org/0000-0002-6691-2235)
- Federico Scarì
Institutions
- Delft University of Technology (NL)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1109/vtc2025-spring65109.2025.11174490
- Citations
- 1
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 1.94