Understand how the adaptive extraction process improves curve detection in a Linear Feature Extraction.
Transcript
00:03
When performing a Linear Feature Extraction, the adaptive extraction process adapts to various conditions to improve curve detection.
00:12
The process expands the search scope at low confidence steps to find the best matches,
00:17
thereby increasing accuracy without the need for manual intervention.
00:23
In this example of a tight curve, notice that the extraction takes smaller steps automatically to adapt to the turn.
00:30
When it encounters the sidewalk ramp, it jumps over the ramp automatically to continue to extract the curb.
00:03
When performing a Linear Feature Extraction, the adaptive extraction process adapts to various conditions to improve curve detection.
00:12
The process expands the search scope at low confidence steps to find the best matches,
00:17
thereby increasing accuracy without the need for manual intervention.
00:23
In this example of a tight curve, notice that the extraction takes smaller steps automatically to adapt to the turn.
00:30
When it encounters the sidewalk ramp, it jumps over the ramp automatically to continue to extract the curb.
