Autonomous Vehicle Remote Inspection Using In-Transit Diagnostics
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Solution Overview
Problem
Current systems lack an efficient method for providing remote inspection information to third-party entities for autonomous vehicles operating across different jurisdictions or infrastructures, leading to intermittent stops and inaccurate inspection data.
Innovation Solution
The implementation of a computer-implemented method and system that enables autonomous vehicles to determine and provide remote inspection information, including diagnostics data, to third-party entities using onboard sensors and external monitors, allowing for real-time data generation and transmission during transit, thereby eliminating the need for frequent stops at weigh stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous vehicles stop at weigh stations for inspection, then inspection data can be collected, but operational efficiency decreases and energy expenditure increases
Solution Approach 1:
The system performs preliminary inspection actions by equipping autonomous vehicles with onboard sensors and diagnostic systems that continuously collect and transmit vehicle data (weight, diagnostics, location) before reaching inspection points. This allows remote third-party entities to pre-assess vehicle status and determine whether physical stops are necessary, thereby maintaining inspection accuracy while reducing unnecessary stops and improving operational efficiency.
2Reliability
If autonomous vehicles stop frequently for inspections, then inspection information can be provided to third-party entities, but energy expenditure increases
Solution Approach 1:
The system implements continuous inspection data collection through onboard sensors that operate throughout the vehicle's journey, continuously transmitting data to remote third-party entities. This eliminates the need for intermittent stops, as the useful action of data collection and transmission continues uninterrupted during normal operation, ensuring reliable information availability while minimizing energy expenditure associated with stopping and resuming travel.
3Productivity
If remote inspection systems are implemented, then operational efficiency improves, but system complexity increases
Solution Approach 1:
The system achieves universality by using multi-functional onboard sensors and diagnostic systems that serve multiple purposes: collecting weight data, diagnostic information, location data, and vehicle status information. These same components support both continuous monitoring and on-demand inspection requirements. The remote third-party entities receive comprehensive data through a unified communication interface, simplifying the overall system architecture despite the enhanced capabilities, thereby improving fleet management efficiency without proportionally increasing system complexity.
Data Source
AI summary
Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes determining vehicle diagnostics information associated with a first autonomous vehicle that is part of a fleet of vehicles controlled by a first entity to provide a vehicle service to a second entity. The method includes determining remote inspection information that includes an assessment of one or more categories pertaining to a third entity, based at least in part on the vehicle diagnostics information. The method includes providing the remote inspection information to the third entity to provide the vehicle service.