Independent Accident Evidence Recording for Intelligent Driving
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Solution Overview
Problem
Users of intelligent driving systems face challenges in recording and proving incidents of errors, failures, and accidents due to the limitations of traditional Event Data Recording and Driving Video Recording systems, which fail to provide comprehensive and accurate evidence for users to defend their rights and interests.
Innovation Solution
The use of non-vehicle-equipped camera devices and data storage systems to capture and record the external environment, driver operations, and human-machine interaction interfaces in a time-synchronized manner, allowing for the reproduction of the entire process of intelligent driving events, including audio and positioning information, to create a comprehensive and accurate factual record.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional Event Data Recording and Driving Video Recording systems are used, then the recording system is simple and easy to operate, but the recording completeness and accuracy of intelligent driving events are insufficient
Solution Approach 1:
The patent divides the recording system into multiple independent recording units, each capturing specific aspects of intelligent driving events from different perspectives (vehicle interior, exterior environment, driver operations). This segmentation allows comprehensive coverage of all relevant information while keeping each recording module relatively simple and modular.
Solution Approach 2:
The patent combines multiple recording systems (video recording, audio recording, data logging, positioning) into an integrated intelligent driving event recording system. By merging these different recording modalities and synchronizing them through time stamps, the system achieves complete and accurate recording of intelligent driving events without requiring complex manual coordination.
2Measurement precision
If multiple recording devices and synchronization mechanisms are implemented, then the recording accuracy and evidence value are improved, but the device complexity and operation difficulty increase
Solution Approach 1:
The recording system automatically activates and operates without requiring manual intervention from the driver. The system self-manages multiple recording devices, synchronizes data from various sensors, and stores information automatically, thereby maintaining high recording accuracy while keeping the operation simple for the user.
Solution Approach 2:
The system performs preliminary setup and configuration before actual intelligent driving events occur. Recording parameters, device configurations, and synchronization protocols are pre-established, so that during actual events the system can automatically execute accurate recording without requiring complex real-time operations by the user.
3Reliability
If comprehensive recording of intelligent driving events is achieved, then users can better protect their rights and interests, but the data storage requirements and processing complexity increase
Solution Approach 1:
The system extracts and prioritizes recording of critical event information and key moments during intelligent driving events. Rather than indiscriminately recording all data continuously, the system focuses on capturing essential evidence elements (driver actions, vehicle responses, environmental context) with higher fidelity, thereby maintaining evidence reliability while reducing unnecessary data storage burden.
Data Source
AI summary
In intelligent driving, various unexpected events such as errors, failures, anomalies, etc. may occur in perception, positioning, planning, control, human-machine interaction and other aspects, making users feel puzzled, uncomfortable, uneasy, dissatisfied, and even encountering accidents. This patent uses non-vehicle equipment to capture and record independent evidence related to the unexpected events, mainly through targeted video-shooting from multiple perspectives and positions in a time-synchronized manner, to record the detailed and continuous performance of people and vehicle throughout the entire process before, during and after such unexpected events, especially the artificial intelligence related performance, in order to form a comprehensive, complete, clear and accurate factual information record that can be reproduced about the causes and consequences of intelligent driving unexpected events, help user record accidental encounter and safeguard legitimate rights and interests.