Autonomous Vehicle Running Logs With Graphical Event Diagnosis
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Solution Overview
Problem
Existing methods for generating running logs of autonomous vehicles are inefficient, leading to low diagnosis efficiency for dispatching management due to the large amount of information and data involved, making it time-consuming for personnel to analyze and diagnose potential problems.
Innovation Solution
A method and apparatus for generating a running log in the form of a graphical interface that clearly displays task and event elements for each autonomous vehicle, allowing dispatching management personnel to quickly identify key information and deviations from planned events, thereby improving diagnosis efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional text-based running logs are used, then complete information is recorded, but analysis efficiency is low and problem diagnosis is time-consuming
Solution Approach 1:
The patent uses color-coded event elements in the graphical interface to indicate different types of running events (e.g., green for normal events, yellow for warnings, red for errors). This visual encoding allows dispatching management personnel to quickly identify and prioritize issues without reading through all text details, thereby improving analysis efficiency and reducing diagnosis time while maintaining complete information recording.
Solution Approach 2:
The running log is segmented into discrete event elements, each representing a specific running event with its own visual representation. These segmented event elements are associated with task elements, creating a structured hierarchical display. This segmentation allows the system to present comprehensive information in an organized manner that can be quickly scanned and understood, resolving the contradiction between completeness and efficiency.
2Loss of information
If detailed running log information is displayed, then complete data is available, but it becomes difficult to quickly identify key information and deviations
Solution Approach 1:
The graphical interface employs color coding to distinguish different types of events and highlight deviations from planned running events. Key information such as warnings and errors are displayed in distinct colors, making them stand out against normal events. This visual differentiation enables dispatching management personnel to quickly identify key information and deviations without losing any data, directly resolving the contradiction between information completeness and ease of identification.
Solution Approach 2:
The interface dynamically associates event elements with task elements, allowing the display to adapt and highlight relevant information based on the current task context. This dynamic association helps users quickly navigate and identify key content by showing relationships between events and tasks, making the system both comprehensive and easy to operate.
Data Source
AI summary
A method for generating a running log for an autonomous vehicle is provided. The method includes: generating running log information based on task recognition information and at least one running event of each autonomous vehicle of at least one autonomous vehicle; and displaying a graphical interface corresponding to the running log information, where for each autonomous vehicle of the at least one autonomous vehicle. The graphical interface includes a task element and at least one event element that are configured for the autonomous vehicle, where the task element includes the task recognition information of the autonomous vehicle. The at least one event element corresponds to the at least one running event of the autonomous vehicle, respectively, and the at least one event element is associated with the task element.