Autonomous Route Selection Using Deviation Values and Sensor Updates
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Solution Overview
Problem
Existing autonomous driving technologies fail to adapt their control rules to changing traveling situations, particularly in areas where inter-vehicle distances become shorter than the minimum control permission distance, leading to potential deviations from traveling rules.
Innovation Solution
An autonomous driving apparatus that determines a deviation value for candidate routes based on inter-vehicle distance and minimum control permission distance, selects a target route within a control permission range, and updates control rules in response to sensor changes, ensuring compliance with traveling rules in varying situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the autonomous driving apparatus maintains a fixed minimum control permission distance, then the control rule is simple and stable, but the apparatus cannot adapt to changing traveling situations where inter-vehicle distances become shorter
Solution Approach 1:
The patent implements dynamic adjustment of the minimum control permission distance based on detected traveling situations. The control rule changes from static to dynamic, allowing the system to adapt to varying inter-vehicle distances while maintaining compliance with traveling rules through situation-dependent parameter modification.
Solution Approach 2:
The patent modifies the control parameter (minimum control permission distance) based on detected traveling situations. By changing this parameter dynamically according to environmental conditions, the system achieves adaptability without requiring complete rule restructuring, thus managing complexity while improving versatility.
2Reliability
If the autonomous driving apparatus uses a strict traveling rule with fixed minimum control permission distance, then compliance with traveling rules is ensured, but the apparatus may deviate from rules when inter-vehicle distances are shorter than the minimum control permission distance
Solution Approach 1:
The system transitions from static rule compliance to dynamic compliance by adjusting the minimum control permission distance based on detected traveling situations. This allows the apparatus to maintain reliability through situation-appropriate rule application while gaining flexibility to handle varying inter-vehicle distances.
Solution Approach 2:
The patent incorporates feedback mechanisms where the sensor detects actual inter-vehicle distances and traveling situations, which then feed back to adjust the minimum control permission distance. This closed-loop approach ensures continued compliance with traveling rules while adapting to real-time conditions.
3Adaptability or versatility
If the autonomous driving apparatus does not update control rules in response to sensor changes, then the control system remains stable, but the apparatus cannot adapt to new traveling situations detected by changed sensors
Solution Approach 1:
The patent implements dynamic control rule updates triggered by sensor changes. When sensors detect new traveling situations, the control rules are accordingly adjusted, allowing the system to adapt to hardware changes while maintaining operational stability through controlled, situation-based modifications.
Solution Approach 2:
The system uses feedback from sensor detections to trigger control rule updates. This ensures that adaptations to sensor changes are based on actual traveling situations rather than arbitrary modifications, maintaining stability while enabling necessary adaptability.
Data Source
AI summary
An autonomous driving apparatus, which is used in a subject vehicle capable of performing an autonomous driving, is configured to: determine a deviation value of each of one or more candidate routes, which indicates a possibility of the subject vehicle deviating from a traveling rule when the subject vehicle travels the corresponding candidate route, based on a comparison result between an inter-vehicle distance and a minimum control permission distance; select one candidate route having the deviation value within a control permission range as a target route; output an instruction for controlling the subject vehicle to travel along the selected target route; execute a traveling control of the subject vehicle according to the instruction; and update a determination rule of the deviation value in response to a change in a sensor that detects a behavior of at least one of the subject vehicle or the peripheral vehicle.