Autonomous Vehicle Path Adjustment for Pedestrian Safety
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Solution Overview
Problem
Conventional automatic driving techniques face challenges in determining safer running paths, especially when a pedestrian does not perform a behavior associated with entering the running region, making it difficult to assess and avoid potential hazards effectively.
Innovation Solution
An information processing device that calculates and adjusts a reference path based on lateral distances from environmental information, using a change unit to alter the path when the lateral distance exceeds the center of the running region, and a display controller to show the adjusted path, ensuring safer navigation around pedestrians and obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional automatic driving techniques are used to determine running paths, then the system can operate with standard detection methods, but it cannot accurately assess hazards when pedestrians do not perform behaviors indicative of entering the road
Solution Approach 1:
The system performs preliminary detection of pedestrians in the peripheral region before they actually enter the running region. By detecting pedestrians earlier and calculating lateral distances in advance, the system prepares safety assessments proactively rather than reactively, enabling it to identify potential hazards before traditional behavior-based triggers occur.
Solution Approach 2:
The invention expands detection from the traditional running region into a broader peripheral region, adding a spatial dimension to hazard assessment. By detecting pedestrians in this extended lateral zone and calculating their distance from the center line, the system creates a new dimensional parameter for safety evaluation that captures pedestrians who have not yet exhibited entry behavior.
2Reliability
If the reference path is adjusted to increase safety margin, then safer running paths are determined, but the path deviation from center line increases
Solution Approach 1:
The reference path is made dynamic rather than fixed, allowing it to shift laterally based on real-time pedestrian detection and lateral distance calculations. When pedestrians are detected in the peripheral region, the reference path automatically adjusts to increase safety margins, and returns to the center line when the region is clear, providing adaptive path stability.
Solution Approach 2:
The system changes the lateral position parameter of the reference path based on pedestrian lateral distance measurements. By adjusting this parameter dynamically according to detected pedestrian positions, the system optimizes the balance between safety margins and path stability, shifting the path only when necessary and returning to normal operation when hazards are removed.
Data Source
AI summary
According to an embodiment, an information processing device includes a memory and one or more hardware processors electrically coupled to the memory and configured to function as a change unit, and a display controller. The change unit is configured to change a reference path to a position at a lateral distance when the lateral distance obtained from lateral environmental information indicating a lateral environment of the reference path referred to as a scheduled running path of a moving body is larger than a distance from a lateral end to a center of a running region of the moving body. The display controller is configured to display display information including the reference path on a display unit.