Trip Video Generation Using Sensor-Driven Event Segmentation
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Solution Overview
Problem
There is a need for a system that can automatically create meaningful videos of journeys for analysis, particularly in driving situations like on racetracks or during driver training, using sensors and video cameras integrated in vehicles to capture and process technical driving parameters.
Innovation Solution
A system comprising at least two vehicles with sensors to capture technical driving parameters and video cameras to record continuous video sequences, processed by a computing unit to mark and combine video sequences based on predefined criteria, creating a synchronized video for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video sequences are recorded continuously from multiple vehicles, then the quantity of recorded data increases, but the complexity of processing and synchronizing this data increases
Solution Approach 1:
The patent segments the continuous video recording into discrete sequences associated with specific driving events. Each video sequence is marked with metadata indicating the event type (e.g., braking, acceleration, cornering), allowing the system to divide and organize large volumes of video data into manageable, event-specific segments that can be processed independently
Solution Approach 2:
The patent introduces a computing unit as an intermediary that receives video sequences from multiple vehicles, processes them against driving event criteria, and generates marked video sequences. This intermediary component automates the complex synchronization and filtering process, reducing the manual processing burden while maintaining data integrity across multiple vehicle sources
2Measurement precision
If video sequences are processed with reference to driving parameters, then the precision of driving analysis improves, but the time required for processing increases
Solution Approach 1:
The patent applies preliminary action by pre-defining driving event criteria and marking schemes before video processing begins. The system establishes the framework for analyzing specific driving maneuvers (braking, acceleration, cornering) in advance, allowing video sequences to be quickly matched against these predetermined criteria rather than requiring comprehensive analysis of all video content
Solution Approach 2:
The patent implements partial action by focusing processing efforts only on video sequences that contain relevant driving events rather than analyzing every frame of all recorded video. The system identifies and processes only those portions of video data that meet the predefined driving event criteria, eliminating unnecessary processing of irrelevant segments
3Reliability
If video sequences from multiple vehicles are synchronized, then the reliability of driving style analysis improves, but the device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the computing unit continuously monitors driving parameters from multiple vehicles and uses this information to automatically synchronize video sequences. The system adjusts synchronization based on real-time data about vehicle positions, speeds, and driving events, creating a self-correcting system that improves reliability without requiring complex manual synchronization procedures
Data Source
AI summary
A system for automatically generating a video of a trip includes at least two vehicles, each vehicle having at least one sensor configured to continuously detect technical driving parameters of the vehicle, and at least one video camera configured to continuously record video sequences of a pre-definable length. The system also includes at least one computing unit which is configured to process the video sequences with reference to the technical driving parameters, to mark each of the processed video sequences according to pre-definable criteria, and to automatically generate a video on the basis of the markings.