Lane Change Prediction Using Road Shape in Automated Driving
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Solution Overview
Problem
Existing vehicle behavior prediction systems inaccurately determine lane changes due to the lack of consideration for road shape variations, leading to erroneous determinations, especially on curved roads where steering adjustments are necessary for navigation.
Innovation Solution
An apparatus and method that includes a periphery detection unit, a road shape detection unit, and a lane change prediction unit, which adjusts the determination value for predicting lane changes based on the road shape where the other vehicle is located, using data from cameras, radars, GPS, and map information to accurately assess the presence or absence of lane changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the same determination value is used for lane change prediction regardless of road shape, then the prediction method is simple, but erroneous determination occurs on curved roads
Solution Approach 1:
The determination value for lane change prediction is made dynamic by adjusting it according to the detected road shape. When a curve is detected, the determination value is increased to account for the lateral speed component generated by steering adjustments, preventing erroneous lane change predictions while maintaining system adaptability to different road conditions
Solution Approach 2:
The system changes the determination parameter (threshold value) based on road shape characteristics. By detecting whether the vehicle is on a curve or straight road and adjusting the determination value accordingly, the system maintains high prediction accuracy without requiring complex prediction algorithms for every scenario
2Measurement precision
If the determination value is adjusted based on road shape, then prediction accuracy improves, but the system complexity increases
Solution Approach 1:
The prediction system is segmented into distinct functional modules: a road shape detection unit that identifies curve characteristics, and a lane change prediction unit that applies the appropriate determination value based on the detected road shape. This modular segmentation improves precision while managing system complexity through clear functional separation
Data Source
AI summary
To provide an other vehicle behavior prediction apparatus, an other vehicle behavior prediction method, and an automatic driving system which can determine the presence absence of the lane change of the other vehicle with good accuracy, regardless of the change of road shape. An other vehicle behavior prediction apparatus, including: a periphery detector that detects other vehicle which exists around an own vehicle; a road shape detector that detects a road shape where the other vehicle is located; and a lane change predictor that predicts presence or absence of a lane change of the other vehicle based on a detection result of the other vehicle, and changes a determination value which is used when predicting the presence or absence of the lane change of the other vehicle, based on the road shape where the other vehicle is located.