ADAS Lane Scoring for Optimal Cruising
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Solution Overview
Problem
Advanced driver-assistance systems (ADAS) face challenges in determining the optimal cruising lane for lane centering control, as the initial lane chosen by the driver may not be the most suitable, especially when encountering slower-moving vehicles or traffic obstacles, leading to suboptimal vehicle routing.
Innovation Solution
An autonomous vehicle control system that uses sensors like cameras and Lidar to generate lane scores based on distance to proximate vehicles, user preferences, and map data, triggering a lane change when the adjacent lane score exceeds the current lane score by a threshold, and considering factors like traffic density and driver-set speed to determine the optimal cruising lane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the driver initiates lane centering control from the current lane, then the system can provide immediate lane centering control, but the current lane may not be the optimal cruising lane when encountering slower-moving vehicles or traffic obstacles
Solution Approach 1:
The system performs preliminary evaluation of adjacent lanes by calculating lane scores based on map data, traffic conditions, and vehicle speed requirements before executing lane changes. This allows the system to proactively identify optimal cruising lanes and execute lane changes in advance, rather than reacting to traffic obstacles when already in the current lane.
Solution Approach 2:
The system continuously monitors traffic conditions, proximate vehicle positions, and lane scores to provide feedback for lane change decisions. By comparing current lane performance with adjacent lane alternatives in real-time, the system can dynamically adjust lane centering control and initiate lane changes when suboptimal conditions are detected.
2Productivity
If the system frequently changes lanes to maintain optimal cruising lane, then vehicle routing efficiency improves, but system complexity and potential safety risks increase
Solution Approach 1:
The system uses a lane score parameter that aggregates multiple factors (map data, traffic density, speed differential, user preferences) into a single quantitative metric. By comparing lane scores rather than evaluating multiple conditions separately, the system simplifies the decision-making process while maintaining routing efficiency.
Solution Approach 2:
The lane score calculation serves as an intermediary that mediates between complex traffic conditions and simple lane change decisions. Rather than directly processing multiple traffic parameters, the system uses lane scores as an intermediate representation that captures optimal lane selection criteria.
3Measurement precision
If the system considers multiple factors (traffic density, speed, map data) for lane selection, then optimal cruising lane determination improves, but processing time and computational load increase
Solution Approach 1:
The system segments the lane evaluation process into distinct components: map data retrieval, traffic condition sensing, lane score calculation for current and adjacent lanes, and threshold comparison. This segmentation allows parallel processing of independent factors and reduces overall processing time while maintaining comprehensive evaluation accuracy.
Data Source
AI summary
The present application relates to a method and apparatus for controlling an ADAS equipped vehicle including a sensor configured for determining a first distance to a first proximate vehicle and a second distance to a second proximate vehicle, a user input operative to receive a user preference, a memory operative to store a map data, a processor operative to generate a current lane score and an adjacent lane score in response to the first distance, the second distance, the user preference, and the map data, the processor being further operative to generate a lane change control signal in response to the adjacent lane score exceeding the current lane score and a vehicle controller operative to perform a lane change operation from a current lane to an adjacent lane in response to the lane change control signal.