safety
Clean LiDAR Rankings Broke Under Deployment Conditions
A protocol adds coarse safety labels, eight corruption types, cross-domain tests and embedded-device speed to semantic-segmentation evaluation.
Summary
A protocol adds coarse safety labels, eight corruption types, cross-domain tests and embedded-device speed to semantic-segmentation evaluation.
The proposed evaluation asks whether LiDAR segmentation rankings survive safety-relevant label grouping, atmospheric and sensor degradation, and transfer to another dataset without adaptation. It also measures inference on a Jetson AGX Orin. The reported results show architecture-dependent degradation under every corruption, rankings that change with coarse labels and insufficient current domain generalization, framing a test protocol rather than a new production perception stack.
Why it matters
A protocol adds coarse safety labels, eight corruption types, cross-domain tests and embedded-device speed to semantic-segmentation evaluation.
Limits and context
No additional limitation was separately recorded.
Key claims
A protocol adds coarse safety labels, eight corruption types, cross-domain tests and embedded-device speed to semantic-segmentation evaluation.
Evidence: source-2026-09-03-009
Sources
- arXiv preprint 2609.02830arXiv · primary research
Corrections
No corrections have been recorded for this story.