Vehicle Travel Control Device Using Pedestrian Body Angle Prediction
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Solution Overview
Problem
Existing vehicle surrounding monitoring devices face difficulties in accurately predicting a pedestrian's travel route, especially when their speed or direction changes, due to challenges in estimating acceleration and complex movement patterns.
Innovation Solution
The vehicle control device adjusts its speed based on changes in a pedestrian's body angles, allowing for more accurate prediction and control of their travel route by analyzing posture and movement direction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pedestrian travel route is estimated from current posture only, then determination is simple, but accuracy deteriorates when speed or direction changes
Solution Approach 1:
The system dynamically adapts the estimation method based on pedestrian state. When acceleration is detected, the system switches from simple posture-based estimation to acceleration-inclusive estimation, making the system both simple under normal conditions and accurate when movement changes occur.
Solution Approach 2:
The system changes the estimation parameters based on detected acceleration. Normally only posture parameters are used, but when acceleration exceeds a threshold, acceleration parameters are added to the estimation, thereby improving accuracy without permanently increasing system complexity.
2Measurement precision
If acceleration information is used to predict pedestrian movement, then travel route prediction accuracy improves, but system complexity increases due to need to calculate and analyze acceleration
Solution Approach 1:
The system applies acceleration analysis only partially - only when acceleration exceeds a predetermined threshold. This avoids the need for continuous complex acceleration analysis while still capturing critical movement changes, thereby improving accuracy without proportionally increasing system complexity.
Solution Approach 2:
The system uses the image sensing device's existing output (posture information) to derive acceleration data through image processing, rather than requiring separate acceleration sensors. This self-service approach improves prediction accuracy without adding hardware complexity.
3Ease of operation
If only posture information is used for control, then control processing is simple, but reliability deteriorates when pedestrian makes abrupt movements
Solution Approach 1:
The system continuously monitors pedestrian acceleration and uses this feedback to adjust the control strategy. When acceleration feedback indicates abrupt movement, the system enhances its response, thereby improving reliability without requiring complex continuous adjustment of control parameters.
Solution Approach 2:
The system performs preliminary acceleration analysis on detected pedestrians and prepares enhanced control measures in advance when acceleration thresholds are exceeded. This preliminary action ensures reliable collision avoidance is ready when needed, without requiring complex real-time decision-making during critical moments.
Data Source
AI summary
In the present invention, it is possible to accurately predict, at an earlier timing, that a pedestrian will perform constant speed movement or a route change that is more complex than the constant speed movement. Provided is a travel control device that can accurately determine a change in the route of the pedestrian according to a change in the pedestrian's posture and, in particular, a change in the orientation of the body or a change in an inverted angle, and that can appropriately control the travel of the vehicle.