Vehicle Collision Control Using Predicted Traffic Stop Positions
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Solution Overview
Problem
Conventional collision prevention systems in vehicles lack the ability to appropriately execute collision prevention control, leading to potential safety gaps in traffic scenarios.
Innovation Solution
A vehicle control device that utilizes sensors and prediction units to recognize surrounding objects, predict movement trajectories, and execute collision prevention control by anticipating potential collisions based on predicted stop positions of traffic participants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collision prevention control is executed based on current position only, then the control system is simple, but collision prevention timing is delayed and safety is reduced
Solution Approach 1:
The system performs preliminary action by predicting the future stop position of the other vehicle before actual collision risk materializes. The prediction unit calculates where the other vehicle will stop based on current trajectory and speed, allowing the host vehicle to prepare and execute collision prevention control at the optimal earlier timing, thereby improving safety without excessive complexity
Solution Approach 2:
The system applies dynamics by making the control system adaptable to changing conditions. Instead of fixed threshold-based control, the system dynamically adjusts collision prevention timing based on predicted stop positions, relative speeds, and trajectories. This allows the control parameters to evolve with the situation, improving safety while maintaining reasonable system complexity through intelligent adaptation
2Reliability
If collision prevention control is executed earlier, then safety is improved, but excessive activation may occur
Solution Approach 1:
The system implements feedback by continuously monitoring the predicted stop position of the other vehicle and comparing it with the host vehicle's trajectory. The prediction unit provides feedback information about future positions, allowing the control unit to make informed decisions about whether collision prevention is truly necessary. This feedback mechanism prevents excessive activation by only triggering control when the predicted trajectories actually indicate potential collision risk
Solution Approach 2:
The system applies partial action by selectively executing collision prevention control only when necessary. Instead of always activating control early, the system uses the prediction unit to identify specific scenarios where early intervention is needed. This selective approach balances safety improvement with avoiding unnecessary control activations, maintaining productivity while enhancing safety
3Measurement precision
If multiple traffic participants are monitored with trajectory prediction, then collision detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The system applies segmentation by dividing the complex task of monitoring multiple traffic participants into manageable components. The recognition unit separately identifies each participant, the prediction unit individually calculates trajectories and stop positions for each, and the control unit selectively applies collision prevention based on which participants pose actual risk. This segmented approach improves detection accuracy for each participant while keeping overall processing complexity manageable through modular design
Data Source
AI summary
A vehicle control device includes: a recognition unit; a first prediction unit; a second prediction unit; and a collision prevention control unit, and if one movement trajectory that is the movement trajectory of one traffic participant among the at least one traffic participant intersects the host vehicle movement trajectory, the collision prevention control unit determines whether an obstacle is present on the one movement trajectory ahead of a first point at which the one movement trajectory intersects the host vehicle movement trajectory, predicts a stop position of the one traffic participant based on a position of the obstacle and the one movement trajectory in a case where the collision prevention control unit determines that the obstacle is present, and executes the collision prevention control in a case the vehicle is determined to have a possibility to collide with the one traffic participant based on the predicted stop position.