Infrastructure Sensor-Based Detection Range Estimation for Traffic Collision Avoidance
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Solution Overview
Problem
Existing traffic control systems fail to adequately consider the fields of view of pedestrians and bicycles, leading to inadequate avoidance of collisions with vehicles, as they primarily rely on the driver's field of view without accounting for other traffic participants.
Innovation Solution
An information processing device that acquires sensor data from infrastructure and in-vehicle sensors to generate object information, estimate detection ranges for each traffic participant, determine potential intersections, and output signals to avoid collisions by considering blind spots and the types of objects involved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only the driver's field of view is used for traffic control, then the system complexity is reduced, but the collision avoidance capability deteriorates
Solution Approach 1:
The patent segments the traffic control system into multiple independent detection units, each responsible for a specific traffic participant (vehicle, pedestrian, bicycle). Each unit estimates detection ranges and determines intersections independently, then results are integrated. This segmentation allows comprehensive monitoring without proportionally increasing overall system complexity.
Solution Approach 2:
The patent creates a universal detection framework that handles multiple types of traffic participants (vehicles, pedestrians, bicycles) using the same core algorithms for detection range estimation and intersection determination. This multi-functional approach improves collision avoidance capability without requiring separate specialized systems for each participant type.
2Measurement precision
If detection ranges of all traffic participants are estimated, then the collision avoidance accuracy is improved, but the computational load increases
Solution Approach 1:
The patent performs preliminary estimation of detection ranges for all traffic participants before determining intersections. By pre-calculating detection ranges based on object type and characteristics, the system reduces the computational complexity of the subsequent intersection determination process, balancing accuracy with computational efficiency.
Solution Approach 2:
The patent implements detection range estimation for all traffic participants rather than only for vehicles, applying the full computational process universally. This excessive action ensures no potential collision is missed, with the computational load managed through efficient algorithms and prioritization based on detection confidence levels.
Data Source
AI summary
An information processing device includes: an data acquisition unit that acquires sensor data of an infrastructure sensor; an object information generation unit that generates object information based on the sensor data; a detection range estimation unit that estimates an object detection range based on at least partial information constituting the object information; an intersection determination unit that determines whether the objects intersect with each other within a predetermined time based on at least partial information constituting the object information; and a signal output unit that outputs an intersection avoidance signal when a position of a second object is outside the object detection range of a first object or when the position of the first object is outside the object detection range of the second object.