Map-Based Performance Limitation Prediction for Autonomous Vehicles
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Solution Overview
Problem
Autonomous vehicles face challenges in controlling themselves when sensor data is uncertain or in complex driving situations, such as high accident areas or heavy pedestrian traffic, due to uncertainties in sensor measurements and algorithm models.
Innovation Solution
A system that includes a localization system, a digital map, and an electronic processor to determine performance limitations in future driving segments and modify driving behavior accordingly, using classifications and probabilities based on map attributes and environmental conditions to ensure safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous vehicle operates in challenging driving situations or areas with high uncertainty, then the vehicle can maintain its planned route and speed, but the safety and reliability of operation deteriorates due to uncertain sensor data and complex environmental conditions
Solution Approach 1:
The system performs preliminary identification of performance limitations by analyzing map attributes and environmental conditions before the vehicle encounters challenging situations. The electronic processor determines future driving segments and identifies potential performance limitations in advance, allowing the vehicle to proactively adjust its operation rather than reactively responding to hazards, thus maintaining both efficiency and safety
Solution Approach 2:
The system introduces map attributes and environmental condition data as intermediary information layers between the vehicle and the physical environment. These intermediaries provide additional context about performance limitations (such as sensor blind spots, challenging road sections, or areas with historical safety issues) that help the vehicle make safer decisions without directly altering the physical driving conditions
2Reliability
If the vehicle modifies driving behavior to account for performance limitations, then the safety and reliability improve, but the operation time and productivity deteriorate due to additional processing and behavior adjustments
Solution Approach 1:
The system identifies performance limitations and determines appropriate behavior modifications in advance, before the vehicle actually encounters the challenging driving segment. By performing this analysis proactively based on map attributes and environmental conditions, the system avoids real-time computational delays and can smoothly execute pre-determined safety adjustments without impacting operational timing
Solution Approach 2:
The system uses the vehicle's existing sensor data, localization information, and map attributes to autonomously identify performance limitations and determine behavior modifications without requiring external intervention or complex real-time computation. The electronic processor leverages already-available information about the vehicle's operating context to self-determine appropriate safety adjustments, minimizing additional processing overhead
Data Source
AI summary
Methods and systems for controlling a vehicle. The system includes a localization system, a memory storing a digital map, and an electronic processor. The electronic processor is configured to receive, from the localization system, a current location of the vehicle and determine a future driving segment of the vehicle based on the current location of the vehicle. The electronic processor is further configured to determine at least one performance limitation based on the future driving segment of the vehicle and modify a driving behavior of the vehicle based upon the determined at least one performance limitation.