Image-Based Wheel Spin and Rotation Analysis for Vehicle Navigation

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Solution Overview

Problem

Autonomous vehicles face challenges in navigating due to the vast volume of data from sensors and traditional mapping technologies, which can limit navigation accuracy and efficiency.

Innovation Solution

A system and method for generating three-dimensional point data using image analysis to detect wheel spin and rotation, enabling navigational actions based on wheel dynamics, and utilizing sparse maps for autonomous navigation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional mapping technology is used for navigation, then navigation coverage is improved, but data storage requirements and processing complexity increase

Engineering Contradiction:
Improvenavigation accuracyVSAvoiddata processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts and utilizes wheel dynamics information (spin and rotation detection) from the complex sensor data stream to derive navigation decisions, separating the critical navigational cues from the overwhelming volume of traditional mapping data, thereby reducing processing complexity while maintaining navigation accuracy

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces reliance on traditional mapping data processing with a mechanics-based approach that analyzes wheel dynamics (spin and rotation) to determine navigational actions, substituting complex data processing with physical principle-based decision making

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If wheel spin detection is added to navigation system, then navigation accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvewheel rotation detection accuracyVSAvoidimage analysis complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs machine learning models that automatically learn to detect wheel spin and rotation from image sequences, allowing the system to self-improve detection accuracy without requiring manual programming of complex detection algorithms, thereby managing system complexity through automated learning

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250285292A1Wheel spin and rotation detection network
Publication Date: 2025.09.11 MOBILEYE VISION TECH LTD
  • US20250285292A1 patent drawing
  • US20250285292A1 patent drawing
  • US20250285292A1 patent drawing

AI summary

Systems and methods for analyzing wheel spin and rotation for vehicle navigation. In one implementation, a system includes a processor programmed to receive a plurality of images acquired by an image capture device associated with the host vehicle, wherein the plurality of images are representative of an environment of the host vehicle; analyze at least two of the plurality of images to identify a representation of at least one wheel in the at least two of the plurality of images; analyze the at least two of the plurality of images to determine whether the at least one wheel is spinning; and cause the host vehicle to initiate at least one navigational action in response to the determination of whether the at least one wheel is spinning.