Vehicle Sensor Event Logging for Incident Detection With Less Memory
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Solution Overview
Problem
Current vehicle sensing systems, such as dashcams, are inadequate for detecting incidents or accidents on the sides or rear of vehicles, are inconvenient to install, and require excessive memory for continuous recording, making it difficult to determine responsibility and inefficient in terms of energy consumption and cost.
Innovation Solution
A method and system for collecting and storing vehicle sensor data using a camera or 360-degree sensing system, which continuously records for a pre-definable time when the vehicle is parked or in motion, allowing for efficient detection and storage of incidents, accidents, and scams by logging data before, during, and after events, with the ability to store only relevant events and reduce memory needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous video recording is used to detect incidents, then detection capability is improved, but memory consumption increases excessively
Solution Approach 1:
The system pre-records sensor data for a predetermined time period before a triggering event occurs. When an incident is detected (door opening, movement), this pre-recorded data is immediately stored. This eliminates the need for continuous long-term recording while ensuring incident data is captured, significantly reducing memory requirements while maintaining detection reliability.
Solution Approach 2:
The system extracts and stores only the specific time periods surrounding triggering events (pre-event and post-event data) rather than storing all continuous video data. This selective extraction of relevant data portions reduces the total memory consumption while preserving all necessary incident information for detection and analysis.
2Reliability
If dashcam is installed to record front view, then front incident detection is improved, but installation convenience deteriorates and rear/side incidents cannot be detected
Solution Approach 1:
The system uses the vehicle's existing multi-functional sensor suite (cameras, ultrasonic sensors, radar, LIDAR) that serves both original vehicle functions and incident detection. This eliminates the need for separate dashcam installation while providing comprehensive multi-angle coverage including front, rear, and side views through the vehicle's integrated sensing capabilities.
Solution Approach 2:
The system merges the incident detection function with the vehicle's existing sensor systems. Rather than adding a separate dashcam, the patent combines multiple vehicle sensors (cameras for visual data, ultrasonic sensors for proximity detection, radar for range measurement, LIDAR for spatial mapping) to create a unified incident detection system that provides comprehensive coverage without additional installation complexity.
3Loss of information
If all sensor data is stored continuously, then complete incident information is captured, but energy consumption increases
Solution Approach 1:
Instead of continuous data storage, the system uses periodic triggering based on specific events (door opening, vehicle movement, sensor detections). Data is recorded in discrete time periods surrounding these periodic triggering events, eliminating the need for constant energy-consuming continuous recording while ensuring complete incident information is captured when relevant events occur.
4Measurement precision
If multiple sensors are used for comprehensive detection, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system leverages sensors that are already integrated into the vehicle's standard equipment suite, which were designed for other vehicle functions. These self-service sensors (cameras for navigation, ultrasonic sensors for parking assistance, radar for cruise control, LIDAR for autonomous driving) provide incident detection capabilities without requiring additional dedicated sensing hardware, thereby improving detection accuracy while avoiding increased system complexity.
Data Source
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Figure 3
AI summary
The present disclosure relates to a method for collecting and storing vehicle sensor data of at least one sensing system (2, 21, 22) of a vehicle (1) in order to detect an incident, accident and/or scam, said method comprising the steps of: S1) continuously collecting and storing a first set of vehicle sensor data for a preceding first pre-definable time period at least when the vehicle (1) is in motion and/or when a door (10) or trunk of the vehicle (1) is open, S2) collecting and storing a second set of vehicle sensor data for a coming second pre-definable time period when at least one of the following occurs: - the vehicle (1) is brought to standstill, - the door (10) or trunk of the vehicle (1) is being closed, or - the vehicle (1) drives away from standstill after being parked. Furthermore, the present disclosure relates to a corresponding system (100), computer product and a computer-readable storage medium storing a program which causes a computer to execute the method.