Driving Assist Travel Planning for Blind-Area Collision Avoidance
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Solution Overview
Problem
Existing in-vehicle technologies struggle to maintain safe distances and avoid collisions with moving objects, particularly when obstacles are not directly in front of the vehicle and when oncoming vehicles or parallel traveling vehicles make turns, leading to potential traffic flow disruptions.
Innovation Solution
An in-vehicle device and driving assist method that includes a travel planning portion to plan vehicle positioning based on a driving policy reducing blind area entry situations, and a verification portion to evaluate and permit travel plans based on driving rule determination information, ensuring safe distances and avoiding collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle maintains a larger safety distance from obstacles, then collision risk is reduced, but traffic flow efficiency deteriorates due to frequent stopping
Solution Approach 1:
The system performs preliminary evaluation of travel plans using verification portion before execution, checking whether planned trajectories would cause other vehicles to enter blind areas. This advance assessment allows the vehicle to maintain closer distances without actual collision risk, improving traffic flow while preserving safety.
Solution Approach 2:
The system continuously monitors the positions of surrounding vehicles and dynamically adjusts travel plans based on real-time feedback. When other vehicles are detected approaching blind areas, the system modifies the subject vehicle's trajectory to prevent entry, creating a feedback loop that maintains safety without requiring excessive stopping.
2Reliability
If the vehicle strictly follows traffic rules and maintains safe distances, then safety is improved, but the ability to pass obstacles efficiently deteriorates
Solution Approach 1:
The system dynamically adjusts travel plans based on real-time evaluation rather than following fixed safety margins. The verification portion continuously assesses whether passing maneuvers would violate safety principles, allowing the vehicle to adaptively pass obstacles efficiently while maintaining compliance with safety requirements.
Solution Approach 2:
The system changes trajectory parameters dynamically based on the positions and movements of surrounding vehicles. By adjusting travel plan parameters in real-time according to verified safety conditions, the vehicle can pass obstacles efficiently without compromising safety compliance.
3Measurement precision
If the vehicle reduces blind area entry situations by adjusting positioning, then detection accuracy is improved, but device complexity increases due to additional planning constraints
Solution Approach 1:
The verification portion serves multiple functions simultaneously: it evaluates travel plans for safety compliance, predicts blind area entries, and adjusts trajectories to optimize detection. This multi-functionality improves detection accuracy without requiring separate dedicated systems for each function.
Solution Approach 2:
The system uses its own periphery monitoring sensor data to evaluate and adjust its travel plans, making the system self-sufficient. The verification portion leverages existing sensor information to predict blind area entries and modify trajectories, eliminating the need for additional external detection systems.
Data Source
AI summary
An in-vehicle device includes a travel planning portion configured to plan, as a travel plan, at least positioning of a vehicle during traveling according to a driving policy; and a verification portion that is configured to: evaluate the travel plan set by the travel planning portion based on driving rule determination information in conformity with a traffic rule; and determine whether to permit the travel plan based on an evaluation result. The travel planning portion is configured to plan positioning of the vehicle according to the driving policy that is set to reduce a frequency of occurrence of a blind area entry situation under which a different vehicle other than the vehicle causes a moving object other than the different vehicle to be positioned within a blind area of a detection range for a periphery monitoring sensor that is configured to monitor surroundings of the vehicle.