Vehicle Camera Layout for Forward and Cross-Traffic Hazard Detection
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Solution Overview
Problem
Existing vehicle safety and convenience systems, particularly in trucks, are complex and costly, especially in retrofit situations, necessitating improved situational awareness and collision avoidance capabilities.
Innovation Solution
A vehicle vision and detection system with cameras and detectors mounted on the hood or fender, providing forward and cross-traffic views, and processors to analyze data and provide alerts based on risk levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex safety and convenience systems are implemented in vehicles, then collision avoidance capabilities improve, but system complexity and cost increase
Solution Approach 1:
The system divides the detection field into multiple zones (forward field of view and cross-traffic fields of view) using separate cameras for each zone. This segmentation allows targeted monitoring of specific areas without requiring a single complex omnidirectional system, reducing overall system complexity while maintaining comprehensive collision avoidance capability
Solution Approach 2:
The system performs preliminary detection and risk assessment by analyzing image data to identify objects and determine risk levels before actual collision threats materialize. This early detection and classification approach enables proactive safety measures while keeping the system architecture straightforward and manageable
2Loss of information
If comprehensive detection coverage is provided, then situational awareness improves, but detection and analysis time increases
Solution Approach 1:
The system applies different detection strategies to different spatial zones: forward-facing cameras monitor for longitudinal hazards while side-facing cameras monitor for cross-traffic hazards. Each camera system is optimized for its specific detection zone, enabling comprehensive situational awareness through specialized local detection rather than a single general-purpose system, thereby reducing processing time
Solution Approach 2:
The system processes and provides alerts for high-risk objects that meet specific risk level thresholds, rather than processing all detected objects uniformly. This selective processing approach ensures critical safety information is delivered rapidly while filtering out lower-priority detections, reducing overall analysis time without compromising essential situational awareness
Data Source
AI summary
The described technology pertains to vehicle safety systems in the field of vision and detection. A vehicle vision and detection system includes multiple cameras and/or detectors within the housing configured designed for attachment to a hood or fender of a vehicle to capture image or detection data for forward and/or cross-traffic fields of view on opposite sides of the vehicle. One or more processors are connected to the cameras and/or detectors to receive and analyze image or detection data, identify objects, assess risk levels for each identified object, and activate an output interface to alert a vehicle operator based on the assessed risk level.