Vehicle Control Device for Pedestrian Road-Entry Prediction
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Solution Overview
Problem
Existing systems fail to accurately determine whether a pedestrian will cross a road based on the interaction between the pedestrian's and vehicle's motions, relying solely on the pedestrian's status at the time of determination.
Innovation Solution
A determining device that processes road and pedestrian information, generates status information about the driver and vehicle, and adjusts determination criteria based on observable driver and vehicle actions to enhance accuracy in predicting pedestrian road entry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only pedestrian status at the time of determination is used for prediction, then the determination process is simple, but the accuracy of predicting whether the pedestrian will enter the road is insufficient
Solution Approach 1:
The system performs preliminary actions by collecting and storing status information of the driver and vehicle during a predetermined period before the determination moment. This includes driver behaviors (line of sight direction, operations) and vehicle states (speed changes, steering actions) that occur before the final prediction is made, enabling more accurate prediction by considering temporal evolution of the situation
Solution Approach 2:
The system implements feedback by using the collected status information to adjust the determination criterion dynamically. The criterion is modified based on the observed driver and vehicle behaviors during the predetermined period, creating a feedback loop where past states inform the current prediction threshold, thereby improving accuracy without requiring complete system redesign
2Measurement precision
If the determination criterion is adjusted based on driver and vehicle status, then the prediction accuracy improves, but the computational complexity increases
Solution Approach 1:
The system applies local quality by selectively adjusting the determination criterion only in specific situations where driver and vehicle status information is relevant. Instead of uniformly increasing complexity across all cases, the criterion modification is applied locally based on the specific observed behaviors (e.g., driver line of sight, speed changes), maintaining efficiency while improving accuracy where needed
Data Source
AI summary
A vehicle control device has a processor configured to carry out determination processing of whether a pedestrian will enter a road based on road information representing a road and pedestrian information representing a pedestrian, in a predetermined range in a traveling direction of a vehicle, generate status information representing a status of a driver driving the vehicle or the vehicle that can be confirmed by the pedestrian during a predetermined period in the past, based on information representing the driver of the vehicle or motion of the vehicle, change criterion for the determination processing based on the generated status information so that it is easier to determine that the pedestrian will enter the road or that the pedestrian will not enter the road, and wherein the determination processing is carried out whether the pedestrian will enter the road using the changed criterion.