_data-driven-protection-levels-for-camera-and-3d-map-based-safe-urban-localization.jpg "Data-driven protection levels for camera and 3D map-based safe urban localization from paper pl Video Screenshot Preview")
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⏲ Duration: 23 min 92 sec
✓ Published: 19-Nov-2021
✓ Published: 19-Nov-2021
Description:
Reliably assessing the error in an estimated vehicle position is integral for ensuring the vehicle’s safety in urban environments. Many existing approaches use GNSS measurements to characterize protection levels (PLs) as probabilistic upper bounds on position error. However, GNSS signals might be reflected or blocked in urban environments, and thus additional sensor modalities need to be considered to determine PLs. In this paper, we propose an approach for computing PLs by matching camera ima
Reliably assessing the error in an estimated vehicle position is integral for ensuring the vehicle’s safety in urban environments. Many existing approaches use GNSS measurements to characterize protection levels (PLs) as probabilistic upper bounds on position error. However, GNSS signals might be reflected or blocked in urban environments, and thus additional sensor modalities need to be considered to determine PLs. In this paper, we propose an approach for computing PLs by matching camera ima
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