In-Vehicle Camera System for Erratic Vehicle Detection
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Solution Overview
Problem
Current vehicle safety systems lack effective means to detect and alert drivers to erratic behavior of neighboring vehicles, which can lead to unpredictable and difficult-to-counteract driving situations on the road.
Innovation Solution
A system utilizing vehicle-mounted cameras and an in-vehicle computing system that captures and analyzes image data from neighboring vehicles, identifies erratic driving behaviors, and transmits vehicle information to an external server for verification and alerting other vehicles and potentially law enforcement agencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle-mounted cameras are used to monitor neighboring vehicles, then driver safety is improved through real-time alerts, but device complexity increases due to additional sensors and processing systems
Solution Approach 1:
The vehicle-mounted camera system serves multiple functions: it captures images for erratic behavior detection, provides reverse parking assistance, and supports general environmental monitoring. By making the camera system universal, the patent reduces the need for separate dedicated devices while improving driver safety through erratic behavior detection.
Solution Approach 2:
The patent introduces an extra-vehicle server as an intermediary that receives image data from multiple vehicles, performs centralized erratic behavior analysis, and distributes alerts. This mediator approach reduces the processing burden on individual vehicle systems while maintaining high reliability through collective intelligence.
2Measurement precision
If multiple vehicles contribute image data to identify erratic drivers, then measurement precision of driving behavior analysis is improved, but loss of time increases due to data collection and verification processes
Solution Approach 1:
The system continuously captures and pre-processes image data from neighboring vehicles even before erratic behavior is detected. By performing preliminary data collection and basic analysis, the system reduces the time required for verification when suspicious behavior occurs, as the data infrastructure is already in place.
Solution Approach 2:
The extra-vehicle server implements a feedback mechanism where initially detected erratic behavior triggers targeted verification requests to specific neighboring vehicles. This feedback-driven approach focuses data collection efforts on relevant cases, reducing overall verification time while maintaining high detection accuracy through multiple perspectives.
Data Source
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AI summary
Embodiments are disclosed for identifying potentially erratic vehicles travelling near a vehicle including an in-vehicle computing system. In some embodiments, an in-vehicle computing system for a vehicle includes a processor, a sensor subsystem communicatively coupleable to a camera mounted on the vehicle, and an external device interface communicatively coupleable to an extra-vehicle server. The in-vehicle computing system may also include a storage device storing instructions executable by the processor to monitor neighboring vehicles within a field of view of the camera, identify a potential erratic vehicle, and transmit vehicle information to the extra-vehicle server.