Pedestrian Posture Detection for Rapid Collision Avoidance
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Solution Overview
Problem
Existing vehicle surroundings monitoring systems are unable to rapidly determine when a pedestrian on the roadside is likely to cross the road, leading to delayed driver alerts and vehicle control responses.
Innovation Solution
A vehicle surroundings monitoring apparatus that extracts objects and pedestrians from camera images, determines pedestrian posture, and uses a determination algorithm to quickly identify if a pedestrian is likely to cross the road, enabling rapid vehicle equipment control and driver alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses movement vector calculation from time series position data to determine contact likelihood, then the determination accuracy is improved, but the response time deteriorates
Solution Approach 1:
The system performs preliminary action by detecting pedestrian posture and predicting crossing intention in advance, before the pedestrian actually enters the road. By analyzing posture features such as body orientation and limb position, the system predicts potential crossing behavior early, enabling timely warnings to the driver rather than waiting for the pedestrian to move into danger zones.
Solution Approach 2:
The determination process is segmented into multiple independent analysis components: posture detection, crossing intention prediction, and contact likelihood assessment. This segmentation allows the system to perform rapid posture-based predictions separately from more complex movement vector calculations, reducing overall processing time while maintaining accuracy through multi-stage verification.
2Measurement precision
If the system waits for time series position data to calculate movement vector, then the determination accuracy is improved, but the alert timeliness deteriorates
Solution Approach 1:
The system performs preliminary posture detection and crossing intention prediction immediately upon detecting a pedestrian, before accumulating sufficient time series data for movement vector calculation. This preliminary action provides early warning capability, and subsequent movement vector analysis serves to confirm or refine the prediction rather than initiate it.
Solution Approach 2:
The system dynamically adjusts the determination process based on available data and situational context. When a pedestrian is detected in a posture suggesting crossing intention, the system immediately performs posture-based prediction and provides warning, while simultaneously continuing to collect position data for movement vector calculation to update and verify the prediction as the situation evolves.
Data Source
AI summary
A vehicle surroundings monitoring apparatus, a vehicle surroundings monitoring method, and a vehicle surroundings monitoring program which can rapidly determine an object such as a pedestrian to be avoided which must be avoided from coming into contact with the vehicle from an image of the surroundings of the vehicle and can provide information to a driver or control the vehicle behaviors. The vehicle surroundings monitoring apparatus includes an object extraction process unit (11) which extracts objects existing around a vehicle (10) from images taken by infrared cameras (2R, 2L), a pedestrian extraction process unit (12) which extracts a pedestrian from the extracted objects, a posture determination process unit (13) which determines the posture of the extracted pedestrian, an object-to-be-avoided determination process unit (14) which determines whether the extracted object is an object to be avoided which must be avoided from coming into contact with the vehicle (10) by executing a determination algorithm including at least a first determination process on the posture of the pedestrian determined by the posture determination process unit (13), and a vehicle equipment control process unit (15) which controls equipment of the vehicle (10) at least according to the determination result of the object-to-be-avoided determination process unit (14).