Autonomous Vehicle Stop Validation in No-Stopping Areas
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Solution Overview
Problem
Autonomous vehicles receiving stopping signals from remote operators may inadvertently stop in undesirable no-stopping areas, such as intersections, causing safety hazards and traffic disruptions due to high internet latency or incorrect location determination.
Innovation Solution
A system that validates and corrects stopping signals by using map data and sensor information to identify no-stopping areas and determine alternative stopping locations outside these areas, ensuring the vehicle continues movement to avoid unsafe stops.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle stops immediately upon receiving a stopping signal from a remote operator, then the vehicle responds quickly to hazardous objects, but it may stop in undesirable no-stopping areas such as intersections
Solution Approach 1:
The system performs preliminary validation of the stopping location by checking map data and sensor information about no-stopping areas before the vehicle executes the stop command. This advance checking prevents the vehicle from stopping in undesirable locations like intersections while still responding to hazardous objects
Solution Approach 2:
The system introduces an intermediary validation layer between the remote operator's stop command and the vehicle's execution. This intermediary checks whether the intended stopping location is appropriate by referencing map data and sensor information, and can modify the command if the location is unsuitable
2Object-affected harmful factors
If the vehicle checks map data and sensor information to validate stopping locations, then it avoids stopping in no-stopping areas, but the system complexity increases
Solution Approach 1:
The system uses existing multi-functional components (map data already used for navigation, sensors already used for hazard detection) to perform the additional stopping location validation. This avoids adding dedicated new hardware while achieving the validation function
Solution Approach 2:
The system uses its own existing resources ( onboard sensors, map data, processing capabilities) to validate stopping locations autonomously without requiring external assistance or additional complex infrastructure
3Reliability
If the vehicle waits for high internet latency to receive stopping signals, then it receives accurate remote operator instructions, but it may stop in incorrect locations due to delayed position updates
Solution Approach 1:
The system continuously monitors its own position through onboard sensors and map data during the latency period, providing real-time feedback about its location. This allows the system to validate whether the intended stopping location is still appropriate even though the remote command itself is delayed
Solution Approach 2:
The system performs preliminary location validation using onboard resources before executing the delayed stop command, ensuring that the location is still appropriate despite the time elapsed since the remote operator issued the command
Data Source
AI summary
Techniques for validating and correcting teleoperation signals for an autonomous vehicle are described herein. In some examples, a system may receive, from a remote computing device, an instruction to stop movement of an autonomous. The system may determine, based at least in part on map data, that the instruction is associated with stopping the autonomous vehicle in a non-stopping area. In response to determining that the instruction is associated with stopping the autonomous vehicle in the non-stopping area, the system may determine to continue movement of the autonomous vehicle beyond the no-stopping area. The system may further identify a stopping location that is at least partially outside of the no-stopping area and control the autonomous vehicle to instead stop at the stopping location.