Autonomous Vehicle Positioning via Road Attribute Projection

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Solution Overview

Problem

Current autonomous vehicle systems face challenges in accurately determining the relative position of a vehicle with respect to road attributes, which is crucial for navigation, especially when transitioning between different road features or attributes.

Innovation Solution

An autonomous driving system that uses a processor to determine the current position of a vehicle by receiving map data containing road attributes, calculating a trajectory between multiple trajectory points, and projecting road attributes onto this trajectory to compare the vehicle's position with the projection point, allowing for precise navigation and control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the vehicle uses traditional GPS-based positioning systems, then the system complexity is low, but the positioning accuracy relative to road attributes is insufficient

Engineering Contradiction:
Improvepositioning accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces map data and trajectory points as intermediary elements between the GPS positioning system and the road attributes. By projecting road attributes onto the trajectory and comparing with vehicle position, the system achieves accurate relative positioning without directly increasing hardware complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The positioning system is segmented into multiple independent components: GPS receiver for absolute position, map data processor for road attribute extraction, trajectory calculator for path determination, and position comparator for relative positioning. This modular approach improves accuracy while managing system complexity

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If the vehicle uses detailed map data and trajectory calculation to improve positioning accuracy, then the positioning precision improves, but the computational complexity and processing time increase

Engineering Contradiction:
Improvepositioning accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Map data containing road attributes and trajectory points are pre-calculated and stored before the vehicle reaches them. During actual navigation, the system only needs to retrieve and compare these pre-computed data with current GPS position, significantly reducing real-time computational complexity while maintaining high positioning accuracy

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If the vehicle continuously tracks and compares position with road attributes, then the navigation accuracy improves, but the energy consumption increases

Engineering Contradiction:
Improvenavigation accuracyVSAvoidenergy consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The position tracking and comparison operations are performed periodically at selected intervals rather than continuously. The system determines current position at discrete time points and compares with pre-calculated trajectory points, maintaining navigation accuracy while reducing energy consumption associated with continuous processing

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS10466704B2Autonomous vehicle localization
Publication Date: 2019.11.05 GM GLOBAL TECHNOLOGY OPERATIONS LLC
  • US10466704B2 patent drawing
  • US10466704B2 patent drawing
  • US10466704B2 patent drawing

AI summary

Methods and apparatus provided for determining a current position of a vehicle are disclosed. The apparatus includes an autonomous driving system for a vehicle with a positioning system configured to determine a current position of the vehicle between an original point of the vehicle and a horizon point ahead the vehicle. The positioning system is configured to receive map data containing at least one road attribute, receive multiple trajectory points which are located between the original point and the horizon point and determine a trajectory which interconnects the multiple trajectory points, determine an absolute position of the vehicle, determine a projection point from the at least one road attribute onto the trajectory, and determine the current position of the vehicle and compare the current position of the vehicle with a position of the projection point of the road attribute between the original point and the horizon point.