Autonomous Route Modification for Continuous Level 3 Driving
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Solution Overview
Problem
Autonomous vehicles in Level 3 driving mode often need to transition to lower levels due to lack of safe stopping areas or construction zones, which disrupts continuous autonomous operation.
Innovation Solution
The system identifies areas where Level 3 autonomous driving is not feasible and modifies the route in real-time to avoid these areas, using sensors and communication with other vehicles, while adhering to constraints like trip time and mileage, and presents proposed route changes to the occupant for confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the vehicle operates in Level 3 autonomous driving mode according to a determined route, then the autonomous driving duration is extended, but the vehicle may encounter areas where safe automatic stop cannot be performed requiring transition to lower levels
Solution Approach 1:
The system performs preliminary identification of areas where safe automatic stop cannot be performed before the vehicle reaches those areas. By collecting real-time data and identifying problematic zones ahead of time, the system can proactively modify the route to avoid these areas, thereby maintaining Level 3 autonomous operation without compromising safety
Solution Approach 2:
The route is dynamically modified in real-time based on identified areas where safe automatic stop is not possible. The system continuously collects data, identifies problematic areas, and adjusts the route accordingly, transforming the static determined route into a dynamic adaptive path that maintains autonomous driving capability while ensuring safety
2Extent of automation
If the route is modified in real-time to avoid areas requiring manual intervention, then the Level 3 autonomous driving mode continuity is maintained, but the route planning complexity increases
Solution Approach 1:
The route planning process is segmented into distinct phases: initial route determination, real-time data collection, identification of problematic areas, and route modification. By dividing the complex route planning into manageable segments, the system can maintain Level 3 autonomy continuity while managing complexity through structured processing steps
3Reliability
If the vehicle identifies areas where safe automatic stop cannot be performed, then the autonomous driving safety is improved, but the trip time may increase due to route modifications
Solution Approach 1:
By identifying areas where safe automatic stop cannot be performed before the vehicle reaches them, the system can proactively modify the route to avoid these areas entirely. This preliminary identification and avoidance strategy prevents safety issues while minimizing time loss by avoiding reactive maneuvers
Solution Approach 2:
The system modifies the route to skip over or bypass identified areas where safe automatic stop is not possible. By routing around these problematic zones rather than attempting to stop in them, the system maintains both safety and efficiency by avoiding unnecessary delays
Data Source
AI summary
A system and method for route modification to continue fully-autonomous driving is provided. The method includes operating a vehicle in a Level 3 autonomous driving mode according to a determined route; collecting data in real time concerning the route ahead of the vehicle; based on the collected data, identifying areas of the route ahead of the vehicle that would require the vehicle to leave the Level 3 autonomous driving mode; modifying the route based on the identified areas to continue operating in the Level 3 autonomous driving mode; and operating the vehicle in a Level 3 autonomous driving mode according to the modified route.