Vehicular Event Recorder Buffer Segmentation
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Solution Overview
Problem
Current driver assistance systems (DAS) lack effective methods for collecting and analyzing data on their efficacy in real-world conditions, due to limited memory storage capacity and the need to continuously monitor and analyze data, which hinders the assessment of their effectiveness in preventing hazards and determining whether they justify the extra cost.
Innovation Solution
A method and system that captures and stores pre-event and post-event data for driver assistance systems, using a segmented memory buffer to ensure consistent data collection and analysis, allowing for the evaluation of the system's performance in preventing hazards such as forward collisions and lane departures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the DAS continuously monitors and stores data to evaluate system efficacy, then the data collection completeness is improved, but the memory storage capacity is exceeded
Solution Approach 1:
The memory buffer is divided into multiple segments (first buffer segment and second buffer segment) that are alternately used for storing pre-event data. This segmentation allows continuous data collection without overwriting important information, resolving the conflict between data completeness and storage capacity.
Solution Approach 2:
The system continuously buffers pre-event data in memory before an actual event occurs. This preliminary action ensures that when an event is detected, the necessary data is already available for analysis, eliminating the need to store excessive post-event data and optimizing memory usage.
2Reliability
If the DAS stores pre-event and post-event data for analysis, then the system efficacy evaluation is improved, but the device complexity increases
Solution Approach 1:
The event recorder automatically detects events, determines whether they meet storage criteria, and manages buffer allocation without requiring external intervention. This self-service approach simplifies the overall system architecture while maintaining reliable data collection for efficacy evaluation.
Solution Approach 2:
The system dynamically adjusts its data collection behavior based on event detection. The buffer allocation and data storage operations are adaptively managed according to the detected event characteristics, allowing the system to maintain reliability while avoiding unnecessary complexity in data management.
Data Source
AI summary
A vehicular event recording system suitable includes a camera and an event recorder having memory. An image processor processes image data captured by the camera for detecting objects. Based at least in part on processing by the image processor of captured image data, a potential lane leaving event or potential collision event is determined. The event recorder receives vehicle data via a vehicle data bus of the vehicle. Captured image data and received vehicle data during first and second time periods are stored in buffer memory of the event recorder and overwritten in respective subsequent time periods. Following determination of an event, captured image data and received vehicle data stored in buffer memory is transferred to data storage of the event recorder and captured image data and received vehicle data during a post-event time period is stored in data storage.