Cruise Control Course Prediction Using Preceding Vehicle Trajectory
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Solution Overview
Problem
Existing vehicle cruise control techniques fail to accurately predict the course of a vehicle when either the own vehicle or the preceding vehicle makes a course change, leading to decreased accuracy and controllability in driving assistance.
Innovation Solution
A vehicle cruise control apparatus that chronologically stores preceding vehicle positions and calculates a predicted course based on these positions, with the ability to cancel and update data when course changes are detected, using coordinate transformation based on the own vehicle's speed and yaw rate to maintain accurate trajectory calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the trajectory of a preceding vehicle is used to calculate the future course of the own vehicle, then the predicted course can be obtained, but the accuracy decreases when the own vehicle or the preceding vehicle makes a course change
Solution Approach 1:
The system performs preliminary detection of course change situations by monitoring vehicle speed, yaw rate, and direction indicator signals before the actual course change occurs. When a course change situation is detected (such as when the own vehicle or preceding vehicle is traveling at low speed or when direction indicators are activated), the system proactively clears the stored trajectory data to prevent using outdated information for prediction, thereby maintaining prediction accuracy during course transitions.
2Reliability
If preceding vehicle positions are stored chronologically for trajectory calculation, then the predicted course can be calculated, but the prediction accuracy decreases when course changes occur
Solution Approach 1:
The system implements a feedback mechanism where the detected situation (vehicle speed, yaw rate, direction indicator status) continuously influences the trajectory calculation process. When feedback indicates a course change situation, the system automatically clears stored position data and resets the trajectory calculation, ensuring that only valid trajectory data is used for prediction and thereby maintaining high predicted course accuracy.
3Productivity
If the system continuously stores and updates preceding vehicle positions, then the trajectory calculation can be performed, but the system complexity increases
Solution Approach 1:
The system extracts and monitors only the critical parameters necessary for detecting course change situations (vehicle speed, yaw rate, and direction indicator signals) rather than managing all possible vehicle data. This selective extraction simplifies the data management process while maintaining the ability to detect course changes accurately, thereby reducing system complexity without sacrificing trajectory calculation efficiency.
Data Source
AI summary
A cruise control apparatus, mounted to a vehicle, controls traveling of the own vehicle, based on a predicted course, which is a future course of the own vehicle. The cruise control apparatus includes a preceding vehicle position storage unit, a course prediction computation unit, and a cancellation determination section. The preceding vehicle position storage unit chronologically stores a preceding vehicle position, which is a position of a preceding vehicle traveling ahead of the own vehicle. The predicted course computation unit calculates a predicted course, based on the trajectory of the preceding vehicle position. The cancellation determination section cancels the preceding vehicle position stored in the preceding vehicle position storage unit when it has been determined that either the own vehicle or the preceding vehicle is in a situation where the own vehicle or the preceding vehicle is likely to depart from the current course.