In-Cabin Failure Feedback Interface for Autonomous Vehicle Events
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Solution Overview
Problem
Autonomous vehicles lack effective mechanisms for collecting granular feedback on failure events, which are crucial for improving performance and safety, as existing systems do not efficiently prompt and record human input in response to specific incidents.
Innovation Solution
A computing system that detects vehicle failure events and provides an interactive user interface for humans to enter feedback, associating it with time, location, and vehicle data, enabling advanced analysis and refinement of autonomous vehicle technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles operate without human feedback collection mechanisms, then operational autonomy is maintained, but performance improvement and safety enhancement are limited
Solution Approach 1:
The system implements automated feedback collection by detecting vehicle failure events and automatically presenting structured feedback requests to passengers through a computing system. This resolves the contradiction by providing safety-critical feedback without requiring manual initiation, thus maintaining operational autonomy while enabling continuous safety improvement through collected data.
2Loss of information
If the system prompts passengers for feedback after failure events, then data collection for improvement is enhanced, but passenger convenience and operational flow are disrupted
Solution Approach 1:
The system prepares and pre-structures feedback requests in advance, presenting standardized feedback options to passengers immediately after failure events. This preliminary preparation of feedback mechanisms ensures comprehensive data collection while minimizing disruption to passenger experience through streamlined, pre-thought feedback interfaces.
Solution Approach 2:
The automated feedback system collects structured passenger responses about failure events, transforming subjective passenger experiences into actionable data. This systematic feedback collection enhances information gathering while maintaining ease of operation through automated presentation and structured response formats that require minimal passenger effort.
3Measurement precision
If comprehensive feedback data is collected and associated with multiple parameters, then analysis precision is improved, but data processing complexity increases
Solution Approach 1:
The system segments feedback data collection into distinct, manageable components: failure event detection, parameter association (time, location, vehicle state), and structured passenger responses. This segmentation enables precise failure event characterization through organized data collection while reducing processing complexity by handling each data element separately through dedicated system modules.
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.