Crosswalk Blind-Spot Detection in Driving Assistance Control
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Solution Overview
Problem
Conventional driving assistance systems struggle to detect pedestrians or obstacles near crosswalks due to blind spots created by vehicles in adjacent lanes, especially when vehicles form a row, leading to difficulty in providing timely assistance.
Innovation Solution
A driving assistance apparatus that includes a crosswalk detection unit, area setting unit, obstacle detection unit, and driving assistance unit to set an obstacle detection area on adjacent lanes, detect obstacles, and perform assistance such as notification, steering, or deceleration when necessary, with adjustments based on congestion, distance, and vehicle speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If another vehicle is present in the adjacent lane, then the blind spot is generated making it difficult to detect pedestrians, but using external camera images may not be effective in congested environments
Solution Approach 1:
The system performs preliminary detection of vehicles in the adjacent lane and proactively sets an obstacle detection area in front of the crosswalk before a pedestrian actually appears. This advance preparation allows the system to monitor the blind spot region continuously, improving detection reliability without requiring complex external camera systems to react in real-time.
Solution Approach 2:
The patent introduces an intermediary obstacle detection area that acts as a virtual monitoring zone between the host vehicle and the crosswalk. This intermediary region allows the system to focus computational resources on a specific area of interest, improving pedestrian detection reliability in the blind spot without requiring comprehensive external camera coverage of the entire adjacent lane.
2Measurement precision
If the obstacle detection area is set to cover the entire adjacent lane, then all obstacles can be detected, but the detection accuracy decreases due to large area and noise
Solution Approach 1:
The system applies local quality by creating a focused obstacle detection area with specific spatial boundaries in front of the crosswalk, rather than monitoring the entire adjacent lane. This localized approach concentrates detection resources on the most critical region where pedestrians are likely to appear, improving measurement precision while reducing the monitored area to a manageable size.
Solution Approach 2:
The patent segments the adjacent lane into a specific obstacle detection area bounded by predetermined distances from the crosswalk. This segmentation divides the large monitoring space into a focused region of interest, allowing the system to maintain high detection accuracy by concentrating computational power on a smaller, more relevant area rather than processing data from the entire lane.
3Adaptability or versatility
If the detection range is increased to cover congested areas, then more obstacles can be detected, but the system complexity and processing load increase
Solution Approach 1:
The system employs dynamics by adjusting the obstacle detection area parameters based on real-time conditions such as vehicle congestion levels, host vehicle speed, and distance to crosswalk. This dynamic adaptation allows the detection coverage to expand or contract as needed, providing versatile detection capability while maintaining manageable system complexity by only processing data within the currently active detection boundaries.
Solution Approach 2:
The patent utilizes parameter changes by modifying the spatial boundaries and monitoring intensity of the obstacle detection area based on detected conditions such as adjacent lane vehicle presence and host vehicle speed. This approach enables the system to adapt its detection coverage to match actual risk levels, achieving versatile detection capability without the constant high processing load that would result from fixed maximum coverage.
Data Source
AI summary
A driving assistance apparatus includes a crosswalk detection unit configured to detect a crosswalk in front of a host vehicle, an area setting unit configured to set, on an adjacent lane, an obstacle detection area for detecting an obstacle on the adjacent lane on a near side of the crosswalk, an obstacle detection unit configured to detect a presence or absence of the obstacle in the obstacle detection area, and a driving assistance unit configured to perform a driving assistance when the obstacle is detected in the obstacle detection area.