Road Edge Detection Using Blockade Verification
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Solution Overview
Problem
Existing technologies face challenges in obtaining sufficient information about road edges, particularly when the spatial resolution of sensors or their positional relationship with the wall surface is inadequate, leading to uncertain detection of road edges in vehicle navigation systems.
Innovation Solution
An arithmetic apparatus that includes a sensor information acquisition unit, feature point extraction unit, target point detection unit, road edge presumption unit, and blockade judgment unit, which collectively process sensor data to identify and verify road edges by analyzing spatial coordinates and area information behind the presumed road edges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If sensor spatial resolution is reduced or positional relationship with wall surface is inadequate, then device complexity is reduced, but measurement precision of road edge detection deteriorates
Solution Approach 1:
The system performs preliminary actions by detecting candidate road edges first, then subsequently verifying them by checking for blockades in the area behind the presumed road edge. This two-stage approach allows the system to achieve high detection precision without requiring complex sensor configurations, as the verification step compensates for the limitations of simpler sensors.
Solution Approach 2:
The system uses feedback by detecting objects in the area behind the presumed road edge and using this information to verify or cancel the road edge presumption. This feedback mechanism enables the system to improve measurement precision through iterative verification rather than relying solely on high-resolution sensors or optimal positioning.
2Device complexity
If sensor information is insufficient, then loss of information increases, but device complexity remains low
Solution Approach 1:
The system addresses information insufficiency by transitioning to another dimension of verification - instead of relying solely on detailed wall surface information from the sensor, it checks the area behind the presumed road edge for the presence or absence of blockades. This dimensional shift in verification approach allows the system to compensate for lost wall surface information without increasing device complexity.
3Productivity
If road edge presumption is made with limited information, then productivity of detection process is improved, but reliability of detection result deteriorates
Solution Approach 1:
The system performs preliminary road edge presumption quickly using available sensor information, then subsequently verifies these presumptions by checking for blockades behind them. This preliminary action approach maintains high processing speed while improving reliability through the additional verification step, avoiding the need for complex real-time analysis that would slow down detection.
Solution Approach 2:
The system uses feedback by detecting objects in the area behind presumed road edges to verify detection reliability. This feedback mechanism allows the system to maintain high productivity by processing presumptions quickly while improving reliability through subsequent verification, as the feedback loop can be implemented efficiently without requiring complex real-time processing.
Data Source
AI summary
An arithmetic apparatus includes: a sensor acquisition unit that collects sensor information about the surroundings of a vehicle; a feature point extraction unit that extracts a feature point of an object; a target point detection unit that expresses the position of the feature point with spatial coordinates and detects it as a target point; a road edge presumption unit that presumes a segment between the target points, which are continuously aligned, as a road edge; and a blockade judgment unit that judges whether or not to cancel the road edge, on the basis of information about an area behind the presumed road edge, which is obtained from the sensor information, where the area behind the road edge is an area opposite the sensor at the other side of the presumed road edge.