Vehicle Visualization Using Suspension-Aware Ground Modeling
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Solution Overview
Problem
Existing vehicle visualization systems struggle to provide a realistic representation of the vehicle on non-planar ground surfaces, limiting the accuracy and effectiveness of obstacle detection and control.
Innovation Solution
A method and device that utilize current camera extrinsic parameters and vehicle suspension data to model a vehicle's posture and ground surface, allowing for a realistic visualization on non-planar terrain, using multivariate interpolations and affine transformations to compute the vehicle's three-dimensional posture and ground contact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a predefined horizontal planar ground surface model is used, then the visualization system is simple to implement, but it cannot reflect the true structure of the ground surface in real-time
Solution Approach 1:
The ground surface model transitions from a static horizontal plane to a dynamic surface that adapts in real-time based on vehicle suspension data and camera extrinsic parameters. The computation unit continuously updates the ground surface geometry to match actual vehicle-wheel contact points, making the system responsive to changing terrain conditions.
Solution Approach 2:
The system changes the parameters defining the ground surface from fixed horizontal coordinates to dynamic coordinates determined by suspension height measurements and camera extrinsic parameters. This allows the ground surface representation to adapt to different terrains and vehicle states.
2Measurement precision
If the ground surface is modelled to contact the wheels based on camera extrinsic parameters and suspension data, then the visualization becomes more realistic, but the system complexity increases
Solution Approach 1:
The system uses data already being collected by the vehicle's existing sensors (cameras and suspension sensors) to automatically determine ground surface geometry. The computation unit processes this existing data to model the ground surface, eliminating the need for additional specialized sensors or manual input.
Solution Approach 2:
The ground surface modeling approach serves multiple functions: it provides accurate terrain representation for visualization, enables obstacle detection, supports driver assistance systems, and adapts to various vehicle states. A single modeling mechanism handles diverse operational requirements.
Data Source
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AI summary
The invention provides a method for providing a visualization of a vehicle, the method having the steps: receiving, for each vehicle camera of a plurality of vehicle cameras of the vehicle, current values of camera extrinsic parameters of said vehicle camera; receiving vehicle suspension data relating to a suspension of wheels of the vehicle; and visualizing the vehicle using a predefined model of the vehicle, wherein the vehicle is visualized on a ground surface; wherein the ground surface is modelled to contact the wheels of the vehicle, based on the current values of the camera extrinsic parameters of the vehicle cameras and based on the suspension data.