Vehicular Blind Spot Detection via Collaborative Sensor Fusion
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Solution Overview
Problem
Vehicles face challenges in detecting objects in blind spots, leading to accidents due to the limitations of conventional vision aids like side view mirrors and rear view mirrors, which fail to provide a comprehensive view of the vehicle's surroundings, especially for larger vehicles.
Innovation Solution
A vehicular collaboration system that uses cameras and sensors from nearby vehicles to capture and share images, video, and sensor data to create a 360-degree view of the vehicle's blind spots, alerting the driver to potential hazards and enabling safe navigation around detected objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vision aids (side view mirrors and rear view mirrors) are used, then the structure remains simple and cost-effective, but blind spots cannot be fully eliminated and detection precision is insufficient
Solution Approach 1:
The patent combines multiple independent detection systems (cameras mounted on the vehicle, cellular network infrastructure, and other vehicles' sensing systems) into a unified detection network. This merging allows the system to achieve comprehensive blind spot coverage and high detection precision without requiring complex mechanical mirror systems, resolving the contradiction between detection precision and device complexity.
Solution Approach 2:
The patent creates a multi-functional detection system that serves multiple purposes: detecting blind spots, monitoring road conditions, identifying other vehicles, and providing navigation assistance. By making the detection system universal, the patent achieves high detection precision across various scenarios without proportionally increasing device complexity, as the same infrastructure serves multiple detection needs.
2Area of stationary object
If mirrors are manipulated to minimize blind spots, then blind spot coverage is improved, but mirror field of view, mounting locations, and interference by solid vehicle structures create tradeoffs that prevent complete elimination of blind spots
Solution Approach 1:
The patent transitions from two-dimensional mirror-based detection to three-dimensional spatial detection using multiple cameras positioned at different locations on the vehicle. This dimensional change allows comprehensive coverage of blind spot areas without the geometric limitations of flat mirrors, achieving both extensive blind spot coverage and adaptability to various vehicle configurations.
Solution Approach 2:
The patent introduces cellular network infrastructure and collaborative vehicular systems as intermediaries between the vehicle and the blind spot detection process. These intermediaries relay detection data and coordinate responses, enabling the system to adapt to different driving conditions, vehicle types, and environmental factors, thereby achieving both comprehensive coverage and high adaptability.
3Reliability
If a collaboration of images and sensor data from multiple vehicles is received and processed, then comprehensive blind spot detection is achieved, but data processing complexity and communication requirements increase
Solution Approach 1:
The patent segments the detection system into independent modular components: local camera systems on each vehicle, cellular communication modules for data exchange, and centralized processing nodes. This segmentation allows reliable detection through distributed sensing while managing system complexity through modular architecture, where each component performs a specific function and can be independently optimized or replaced.
Data Source
AI summary
Embodiments for using vehicular collaboration for vehicular blind spot detection by a processor. A collaboration of images, capturing one or more non-visible areas to an occupant of a vehicle, may be received from a plurality of collaborative vehicles in substantially close proximity to the vehicle for aiding in determining an object in the one or more non-visible areas.