Driver Assistance Visualization for Heavy-Vehicle Off-Tracking
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) face challenges in preventing off-tracking in heavy-duty vehicles, which can lead to collisions, especially in narrow traffic situations, as they fail to accurately predict and communicate the vehicle's maximum width and trajectory to the driver.
Innovation Solution
A computer system that processes map data and real-time image data to determine the vehicle's maximum width and trajectory, providing visual information to the driver through indicators or a head-up display, incorporating actual vehicle dimensions, steering angle, and yaw rate to guide the driver and prevent collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ADAS systems provide suggested trajectory guidance, then lateral positioning accuracy is improved, but off-tracking occurs in narrow situations causing collision risk
Solution Approach 1:
The system performs preliminary action by calculating and displaying the maximum width trajectory in advance before the vehicle actually enters the narrow section. This allows the driver to see the predicted path and adjust positioning proactively, preventing off-tracking collisions rather than reacting after they occur.
Solution Approach 2:
The system adds another dimension to trajectory visualization by showing not just the centerline path but also the maximum width envelope that accounts for vehicle lateral extension. This dimensional addition provides comprehensive spatial awareness that prevents collisions in narrow situations.
2Loss of information
If the system displays maximum width information, then driver awareness of vehicle behavior is improved, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using the existing trajectory calculation infrastructure to serve dual purposes: both guiding the vehicle along the optimal path and determining the maximum width envelope for collision prevention. This universal approach avoids adding separate complex subsystems.
Solution Approach 2:
The maximum width trajectory acts as an intermediary visualization that bridges the gap between complex vehicle dynamics calculations and simple driver understanding. It translates complex off-tracking behavior into an intuitive visual envelope that drivers can easily comprehend and respond to.
Data Source
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Figure 3A
AI summary
A computer system (200) is provided. The computer system (200) comprises a processor device (202) configured to receive (S20) map data (MD) representing characteristics of a road (R) ahead of a vehicle (1), the vehicle having an actual vehicle width (CW) and an actual vehicle length (CL); determine (S40) a maximum width (MW) of the vehicle (1) based on at least the actual vehicle width (CW) and the map data (MD); and provide (S50) visual information (VI) representing the maximum width (MW) to a driver of the vehicle (1).