Lane-Change Prediction in Driver Assistance for Cross-Traffic Avoidance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driver assistance systems, such as Front Cross Traffic Alert (FCTA), may fail to provide timely and effective collision avoidance assistance when a vehicle on a multi-lane road changes lanes from a farther lane to a closer lane, potentially leading to collisions with oncoming vehicles.
Innovation Solution
A driver assistance device equipped with a recognition sensor and processor that predicts lane changes of other vehicles based on traveling information, including turn signal status and distance to lane division lines, and executes appropriate assistance processes, such as reducing vehicle speed or alerting the driver, depending on the predicted lane change probability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver assistance device uses basic FCTA detection without lane change prediction, then the system complexity is low, but the collision avoidance capability is insufficient when another vehicle changes lanes from a farther lane to a closer lane
Solution Approach 1:
The system performs preliminary lane change prediction by analyzing another vehicle's traveling information (turn signal status, distance to lane division line) before a collision risk actually materializes. This advance prediction allows the system to prepare appropriate assistance processes in advance, improving collision avoidance capability without requiring complex real-time response mechanisms
Solution Approach 2:
The system dynamically adjusts the driver assistance process based on the predicted lane change probability. When probability is high, it executes a first process (controlling actuators to reduce forward movement). When probability is low, it executes a second process (HMI notification). This dynamic adaptation resolves the contradiction by making the system complex only when necessary
2Reliability
If the system always executes the first process (controlling actuators to reduce forward movement) to ensure collision avoidance, then the safety is improved, but the ease of operation deteriorates due to excessive intervention
Solution Approach 1:
The system uses lane change probability as a threshold parameter to determine which assistance process to execute. By changing this parameter value, the system can adjust its intervention level. When probability exceeds the threshold, active intervention (first process) is applied; when below, passive notification (second process) suffices, maintaining driver comfort while ensuring safety
Data Source
AI summary
A driver assistance device according to the present disclosure includes a recognition sensor and a processor. The recognition sensor includes a camera that captures an image of another vehicle on a road having two or more lanes intersecting with a traveling lane of a subject vehicle, and is configured to recognize a situation around the subject vehicle. The processor is configured to execute a driver assistance process of assisting collision avoidance between the subject vehicle and the another vehicle. The processor is configured to predict whether or not the another vehicle performs a lane change from a farther lane to a closer lane when viewed from the subject vehicle, based on other-vehicle traveling information which is traveling information of the another vehicle detected by the recognition sensor. The processor is configured to execute the driver assistance process in a mode according to a result of the prediction.