Autonomous Vehicle Failure Feedback Interface With Event Correlation
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Solution Overview
Problem
Autonomous vehicles lack an efficient system for collecting feedback on failure events, which hinders the continuous testing and evaluation of their performance.
Innovation Solution
A computing system that determines vehicle failure events and provides an interactive user interface for humans to enter feedback, associating it with time, location, and vehicle data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles operate without a feedback collection system, then the system complexity is reduced, but the ability to continuously test and evaluate performance is hindered
Solution Approach 1:
The autonomous vehicle system automatically detects failure events, generates feedback requests, collects user feedback through the interface, and associates feedback with event data without requiring external manual intervention. The system serves itself by autonomously managing the entire feedback collection and processing workflow
Solution Approach 2:
The system implements a closed-loop feedback mechanism where failure events are detected, feedback is collected from users through the interface, and the feedback is associated with event data for continuous performance evaluation and system improvement
2Reliability
If an interactive user interface is provided for feedback entry, then feedback collection capability is improved, but the ease of operation is reduced
Solution Approach 1:
The system automatically detects and logs failure events with associated metadata (time, location, sensor data) before feedback is collected. This preliminary preparation allows the feedback interface to simply collect user input without requiring users to manually document event details, reducing operational complexity
Solution Approach 2:
The computing system acts as an intermediary that automatically processes the connection between failure events and user feedback. It matches feedback entries with corresponding events using timestamps and location data, eliminating the need for users to manually correlate feedback with specific events
3Measurement precision
If feedback is associated with multiple parameters (time, location, vehicle data), then measurement precision is improved, but the device complexity increases
Solution Approach 1:
The feedback association system is segmented into distinct functional modules: event detection module that identifies failure events, data collection module that gathers vehicle sensor data, feedback collection module that obtains user input, and association module that links feedback with event data using timestamps and location. This modular segmentation reduces overall system complexity while maintaining precise multi-parameter association
Data Source
AI summary
The present disclosure provides systems and methods to obtain feedback descriptive of autonomous vehicle failures. In particular, the systems and methods of the present disclosure can detect that a vehicle failure event occurred at an autonomous vehicle and, in response, provide an interactive user interface that enables a human located within the autonomous vehicle to enter feedback that describes the vehicle failure event. Thus, the systems and methods of the present disclosure can actively prompt and/or enable entry of feedback in response to a particular instance of a vehicle failure event, thereby enabling improved and streamlined collection of information about autonomous vehicle failures.