Autonomous Vehicle Failsafe Trajectory with Human Guide Assistance
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Solution Overview
Problem
Autonomous vehicles face challenges in navigating urban settings due to crowded conditions, which can lead to errors in sensor information interpretation, making it difficult for them to safely progress through unknown or challenging road conditions.
Innovation Solution
A system that pairs autonomous vehicles with human-driven vehicles to provide guide assistance, using human operators to collect sensor information and provide real-time instructions to help the autonomous vehicle navigate through uncertain conditions, thereby enhancing safety and usability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate independently in crowded urban settings, then automation level is improved, but safety and reliability deteriorate due to errors in sensor information interpretation
Solution Approach 1:
A human operator acts as an intermediary between the autonomous vehicle system and the complex urban environment. The human operator receives sensor information from the autonomous vehicle, interprets crowded conditions and uncertain situations, and provides guidance instructions back to the vehicle, thereby resolving the contradiction between high automation and safety reliability
Solution Approach 2:
The system implements a feedback loop where sensor information flows from the autonomous vehicle to the human operator, and guidance instructions flow back from the operator to the vehicle. This continuous feedback mechanism allows the autonomous vehicle to maintain high automation while benefiting from human judgment to ensure safety in crowded urban settings
2Productivity
If autonomous vehicles navigate through unknown road conditions independently, then productivity is improved, but measurement precision of sensor information deteriorates due to crowded conditions
Solution Approach 1:
The human operator serves as an intermediary who receives imprecise sensor information from the autonomous vehicle navigating crowded urban environments, interprets the data with human contextual understanding, and provides corrected guidance instructions that improve navigation accuracy and productivity
3Reliability
If human operators provide real-time guidance to autonomous vehicles, then safety is improved, but device complexity increases due to the need for human-vehicle coordination system
Solution Approach 1:
The human operator interface is designed to be multi-functional, handling multiple tasks including receiving sensor data, interpreting crowded conditions, making safety judgments, and transmitting guidance instructions. This universal interface reduces overall system complexity by consolidating multiple functions into a single human operator role rather than requiring separate automated systems for each function
Data Source
AI summary
An autonomous vehicle is operable to follow a primary trajectory that forms a portion of a route. While controlling the autonomous vehicle, the autonomous vehicle calculates a failsafe trajectory to follow as a response to a predetermined type of event.