Road Intersection Recognition for Stable Lane Center Guidance
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Solution Overview
Problem
Existing lane center guidance systems face challenges in urban scenarios due to the lack of lane markings or excessive markings at intersections, leading to misrecognition and reduced availability and undesired steering behavior.
Innovation Solution
A method to recognize road intersections using image data from vehicle cameras, calculating an overall probability based on features like traffic lights, stop lines, lane width, and road edges, and dynamically adjusting the driving corridor to avoid misrecognition, using a modular design that does not rely on map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional computer vision algorithms are used for lane line recognition, then the system works well on highways and country roads, but the availability decreases in urban scenarios with intersections
Solution Approach 1:
The system dynamically adjusts the driving corridor based on detected road intersections. When an intersection is detected, the lane center guidance assistant modifies the driving corridor to account for the intersection geometry, allowing the system to adapt its behavior to different road scenarios while maintaining reliability
Solution Approach 2:
The system changes parameters of the driving corridor (such as lateral position and width) when road intersections are detected. This parameter adjustment allows the guidance system to maintain availability in urban scenarios by adapting to the unique characteristics of intersections rather than failing as traditional algorithms do
2Ease of operation
If lane lines are used for guidance at intersections, then the system may provide guidance, but misrecognition occurs due to lack of markings or excessive markings
Solution Approach 1:
The system introduces road intersection detection as an intermediary step between lane line detection and driving corridor formation. By first detecting the presence of a road intersection and then adjusting the driving corridor accordingly, the system avoids direct reliance on potentially misleading lane markings at intersections
Solution Approach 2:
The system performs preliminary detection of road intersections before finalizing the driving corridor. This preliminary action allows the system to prepare appropriate adjustments to the driving corridor in advance, preventing misrecognition issues that would occur if lane lines were processed without context
3Duration of action of stationary object
If the driving corridor follows lane lines at intersections, then the system may provide continuous guidance, but undesired steering behavior occurs
Solution Approach 1:
The system applies preliminary anti-action by detecting road intersections and preemptively adjusting the driving corridor to counteract potential undesired steering behavior. By modifying the driving corridor in advance based on intersection detection, the system prevents harmful steering actions before they occur
Data Source
AI summary
A method for recognizing a road intersection ahead in the driving direction of a vehicle. In the method, an overall probability of the presence of the road intersection ahead is calculated on the basis of data acquired during the trip of the vehicle and the presence of the road intersection ahead is deduced on the basis of the calculated overall probability.