Vehicle Collision Detection Using Shared Surrounding Images
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Solution Overview
Problem
Self-driving vehicles may misjudge situations due to failures in sensors or cameras, leading to potential accidents, as they rely on accurate detection of surrounding vehicles and road conditions.
Innovation Solution
An electronic apparatus in a vehicle that receives and processes image data from itself and surrounding vehicles to determine collision possibilities, using a processor and communication unit to assess and prevent collisions by controlling the vehicle's actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If self-driving vehicles rely on sensors and cameras for detection, then automated driving function is achieved, but detection accuracy deteriorates when sensor or camera failures occur
Solution Approach 1:
The patent introduces a communication unit as an intermediary to receive image data from surrounding vehicles. This external data source compensates for detection failures in the vehicle's own sensors or cameras, allowing the automated driving system to maintain detection accuracy even when primary sensing components fail.
Solution Approach 2:
The system changes the source of image data from solely internal sensors to a combination of internal sensors and external communications. By accepting image data from surrounding vehicles through the communication unit, the system alters the data acquisition parameters to ensure continuous detection capability despite sensor failures.
2Device complexity
If the vehicle uses only its own sensors for collision detection, then system complexity is low, but collision detection reliability deteriorates when sensor failures occur
Solution Approach 1:
The communication unit serves as an intermediary that provides alternative image data from surrounding vehicles. This additional data path increases reliability by providing redundancy, allowing the system to cross-validate detection results or compensate for failed sensors without requiring complete system redesign.
Solution Approach 2:
The system prepares for potential sensor failures by establishing a backup detection pathway through the communication unit before failures occur. By continuously receiving image data from surrounding vehicles, the system cushions against the impact of sensor failures, ensuring collision detection reliability is maintained.
3Reliability
If the vehicle receives image data from surrounding vehicles, then collision detection reliability is improved, but device complexity increases due to additional communication requirements
Solution Approach 1:
The communication unit is designed with multi-functionality, serving both as a data acquisition component for image reception and as part of the overall vehicle communication infrastructure. This universal design reduces the need for dedicated separate systems, thereby limiting the increase in device complexity while achieving improved collision detection reliability.
4Measurement precision
If the processor analyzes image data from multiple sources, then collision possibility determination accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The processor performs partial analysis by focusing on critical regions or features in the image data from multiple sources rather than exhaustive processing of all data. This selective approach maintains collision possibility determination accuracy by concentrating computational resources on the most relevant information while reducing overall processing time.
Data Source
AI summary
An electronic apparatus provided in a first vehicle for determining a collision possibility can include an input unit configured to receive surrounding information of the first vehicle; a communication unit configured to communicate with at least one surrounding vehicle around the first vehicle; and at least one processor configured to operate in conjunction with the input unit and the communication unit, in which the at least one processor is further configured to receive a first image via the input unit, receive at least one second image from the at least one surrounding vehicle via the communication unit, and determine a collision possibility of the first vehicle based on the first image and the at least one second image.