Autonomous Work Vehicle Video Log Triggering
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Solution Overview
Problem
Autonomous work vehicles face challenges in analyzing their performance due to limited feedback mechanisms, making it difficult to assess their operations effectively.
Innovation Solution
A system that includes an image capturing device and a controller with a processor and memory, which generates a video log by associating image data with the vehicle's position in response to triggering events such as command overrides, obstacle detection, or mission start/stop commands, allowing for detailed analysis of the vehicle's operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous work vehicles operate without continuous monitoring, then productivity increases, but performance analysis capability deteriorates due to limited feedback
Solution Approach 1:
The system proactively captures and stores video logs at predetermined triggering events (obstacle detection, command overrides, mission start/stop) before performance analysis is needed. This preliminary recording ensures that critical operational data is preserved without requiring continuous monitoring during autonomous operation, thus maintaining productivity while preventing information loss.
Solution Approach 2:
The system establishes a feedback loop by capturing operational data through image capturing devices and storing video logs that provide performance information. This feedback mechanism allows operators to review and analyze autonomous vehicle performance after operations, enabling continuous improvement while maintaining autonomous productivity during execution.
2Measurement precision
If continuous video recording is implemented for performance analysis, then measurement precision improves, but energy consumption increases
Solution Approach 1:
Instead of continuous recording, the system implements periodic video log capture triggered by specific events (obstacle detection, command overrides, mission start/stop). This periodic action captures critical performance data at meaningful intervals, maintaining measurement precision for analysis while dramatically reducing energy consumption compared to continuous recording.
3Reliability
If video logs are captured at every triggering event, then reliability of performance assessment improves, but device complexity increases
Solution Approach 1:
The system segments the autonomous operation into distinct phases marked by triggering events (obstacle detection, command overrides, mission start/stop). Video logs are captured for each segmented event, providing reliable performance assessment data for specific operational contexts without requiring a monolithic complex recording system for all operations simultaneously.
Data Source
AI summary
A controller for a work vehicle includes a processor and a memory device communicatively coupled to the processor. The memory device stores instructions that cause the processor to receive a first signal from an image capturing device, such that the first signal is indicative of image data associated with an environment of the work vehicle. Furthermore, the memory device stores instructions that may cause the processor to associate the first signal with a corresponding position of the work vehicle to generate a video log in response to a triggering event, such that the video log has a duration between a first time and a second time, and the triggering event includes a command to stop the work vehicle, a command to start a mission, a command to end a mission, a user input to override an autonomous command, a user input to override a highly automated command, detection of an obstacle, or any combination thereof.