Roadside Unit Camera View Sharing for Traffic Awareness
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Solution Overview
Problem
Conventional vehicle image sensor systems provide limited views, making it difficult for drivers to make decisions about traffic and route changes, especially at intersections or on highways, due to insufficient information about surrounding traffic.
Innovation Solution
A system that allows a driver of an ego vehicle to request and receive a camera feed from a target vehicle through a road-side unit, using a bird-eye-view map to select and extend their view, enabling better decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If conventional vehicle image sensor systems are used, then the system structure is simple, but the view coverage is limited and insufficient traffic information is obtained
Solution Approach 1:
The patent merges camera sensors from multiple vehicles with the ego vehicle's own camera to create a comprehensive bird's-eye view map. This combining of multiple view sources expands the effective coverage area without requiring the ego vehicle to install additional cameras everywhere, thus improving view coverage while managing system complexity through resource sharing.
Solution Approach 2:
The road-side unit acts as an intermediary that collects, processes, and distributes camera feed data between vehicles and the ego vehicle's display system. This mediator handles the complexity of data fusion and transmission, allowing the system to achieve extensive view coverage without directly complicating the ego vehicle's own sensor system.
2Loss of information
If only own vehicle cameras are used, then the system is easy to operate, but decision-making capability in complex traffic scenarios is insufficient
Solution Approach 1:
The patent transforms 2D camera images from multiple vehicles into a 3D bird's-eye view representation. This dimensional transformation provides comprehensive traffic information including vehicle positions, movements, and surroundings from multiple perspectives simultaneously, enabling better decision-making while the system manages processing complexity through standardized visualization.
3Reliability
If real-time camera feeds from multiple vehicles are collected and processed, then situational awareness is improved, but data transmission and processing requirements increase
Solution Approach 1:
The system extracts only the essential camera feed data needed for situational awareness rather than transmitting all raw data from every vehicle. By selecting and transmitting only relevant visual information to the road-side unit for processing, the system improves situational awareness accuracy while reducing the energy consumption associated with data transmission and processing.
Data Source
AI summary
A camera view share system is provided. The camera view share system includes a road-side unit. The road-side unit includes a controller configured to receive a request for a bird-eye-view map from an ego vehicle, the bird-eye-view map including a plurality of vehicles, transmit the bird-eye-view map to the ego vehicle, receive a selection of a target vehicle among the plurality of vehicles from the ego vehicle, and transmit a camera feed related to the target vehicle to the ego vehicle.