Autonomy Map Updates for Safe Autonomous Driving Transitions
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Solution Overview
Problem
Autonomous vehicles face challenges in efficiently computing and managing autonomy levels during transitions, which can compromise safety if not properly notified or if a driver is not present, especially considering the cost of deploying vehicles with drivers for trips.
Innovation Solution
A system and method for generating a digital autonomy map that includes historical and real-time data to dynamically update autonomy levels based on sensor configurations, weather, traffic, and vehicle categories, allowing for efficient route management and driver allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If autonomous vehicles operate with full automation (level 5) without driver intervention, then operational cost is reduced, but safety is compromised when transitioning through autonomy levels in complex driving conditions
Solution Approach 1:
The system performs preliminary actions by notifying the driver in advance before autonomy level switching occurs. The notification system alerts the driver proactively about upcoming transitions from autonomous to manual control, allowing the driver to prepare mentally and physically for taking control, thereby maintaining safety while enabling cost-effective autonomous operation.
2Speed
If instantaneous switching between autonomy levels is implemented, then response time is improved, but safety is compromised due to lack of prior notification to the driver
Solution Approach 1:
The notification system performs preliminary action by alerting the driver before autonomy level switching occurs. This advance notification allows the driver to prepare for the transition while the system maintains its ability to switch levels promptly when conditions require it, thus balancing rapid response with driver safety and awareness.
3Reliability
If driver deployment is required for all trips, then safety is improved through human oversight, but operational cost increases significantly
Solution Approach 1:
The autonomous vehicle performs self-service by autonomously notifying and preparing the driver for autonomy level transitions without requiring continuous human oversight. The vehicle manages its own operational safety through automated monitoring and driver alert systems, eliminating the need for constant driver deployment while maintaining adequate safety protocols.
Data Source
AI summary
Generation of an autonomy map for assisting an autonomous vehicle includes extracting the historical autonomy information associated one or more route segments of one or more routes. An autonomy level for each route segment is determined based on the extracted historical autonomy information. A digital autonomy map is generated including each route segment of at least one route such that each route segment is tagged with the determined autonomy level. The autonomy level of each route segment is dynamically updated in real-time for providing real-time driving assistance to the autonomous vehicle.