Autonomous Travel Control for Open Road Edge Transition Decisions
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Solution Overview
Problem
Existing travel controllers face challenges in effectively managing vehicle travel in open sections without departure preventers, leading to reduced autonomous control time and decreased driver convenience due to unnecessary transition demands.
Innovation Solution
A travel controller that uses a processor to detect the presence of departure preventers, calculates the vehicle's expected lateral movement, and notifies the driver to transition from autonomous to manual control only when necessary, ensuring safe navigation by detecting lane lines and performing stopping control when no preventer is present.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the travel controller demands transition to manual control in all open sections, then the safety of the vehicle is improved, but the time period under autonomous control decreases and driver convenience deteriorates
Solution Approach 1:
The system changes the parameter of transition demand notification from a fixed condition (all open sections) to a dynamic condition based on calculated possibility of reaching road edge. The processor calculates expected lateral movement distance and compares it with actual distance to road edge, thereby dynamically adjusting when transition demands are notified based on quantitative parameters rather than uniform application.
Solution Approach 2:
The system introduces feedback by continuously monitoring surrounding data, calculating expected lateral movement based on current vehicle state and steering operations, and comparing this calculation with the actual distance to the road edge. This feedback loop enables the system to make informed decisions about when transition demands are necessary, rather than applying them uniformly.
2Reliability
If the travel controller demands transition to manual control in all open sections, then the prevention of vehicle running off road is improved, but the autonomous control time period decreases
Solution Approach 1:
The system transforms the transition demand notification from a time-based or location-based fixed rule to a parameter-based dynamic decision. By calculating the possibility of reaching the road edge using expected lateral movement distance and actual distance, the system adjusts transition demands based on quantitative parameters, thereby extending autonomous control time where risks are low while maintaining safety where risks are high.
Data Source
AI summary
A travel controller autonomously controlling a travel of a vehicle, detecting a departure preventer preventing the vehicle from running off a road at an edge of the road under autonomous control from surrounding data representing surroundings of the vehicle, when no departure preventer is detected, determining a possibility of the vehicle reaching the edge of the road based on an expected movement amount of the vehicle in the lateral direction until stopping and a distance from the vehicle to the road edge, and, when there is a possibility of the vehicle reaching the road edge, notifying the driver of a transition demand demanding transition from the autonomous control to manual control of a travel of the vehicle based on driving operations of the driver of the vehicle, and when there is no possibility of the vehicle reaching the road edge, not notifying the driver of the transition demand.