Autonomous Vehicle Localization Using Radar Markers and Sensor Fusion
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Solution Overview
Problem
Conventional solutions for autonomous vehicle navigation require significant infrastructure upgrades to support accurate location determination and safe navigation, which is costly and challenging due to existing roadways being designed for manual operation.
Innovation Solution
A navigation system that uses a combination of radar and LiDAR transceivers, along with camera technology, to determine vehicle localization by selecting the most accurate solution based on accuracy thresholds and reliability scores, and utilizes markers with RFID-MMID tags to enhance localization accuracy without relying on extensive infrastructure modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional infrastructure upgrades are implemented to support autonomous vehicle navigation, then navigation accuracy and safety are improved, but implementation cost and complexity increase significantly
Solution Approach 1:
The patent uses radar-reflective markers that replicate the functionality of infrastructure-based localization systems. These markers create artificial reflection points that mimic natural infrastructure features, allowing the vehicle to determine its position without modifying actual road infrastructure. The markers serve as portable, deployable copies of permanent localization infrastructure.
Solution Approach 2:
The radar-reflective markers are inexpensive, temporary objects that can be deployed and removed as needed. Unlike permanent infrastructure upgrades, these markers provide localization functionality through simple, low-cost components that do not require significant investment or complex installation procedures.
2Ease of manufacture
If existing roadways are used without modifications, then implementation cost is reduced, but navigation accuracy and reliability deteriorate
Solution Approach 1:
The radar-reflective markers serve as intermediary objects between the vehicle's radar system and the environment. These markers create reliable reflection points that mediate the localization process, enabling accurate position determination on existing roadways without requiring the road surface itself to be modified or equipped with active components.
3Reliability
If multiple localization methods are evaluated and selected based on accuracy, then navigation reliability is improved, but processing time and computational load increase
Solution Approach 1:
The system pre-establishes accuracy thresholds and reliability criteria for different localization methods before actual navigation occurs. By having these evaluation criteria ready in advance, the system can quickly compare localization solutions against predetermined standards without performing complex real-time analysis, thus maintaining both reliability and speed.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and reliable autonomous vehicle navigation in existing infrastructure environments by selecting the best localization method based on accuracy and reliability, reducing the need for extensive upgrades and improving navigation precision.
Implementation Method 1
a radar transceiver configured to transmit signals to and receive return signals from radar-reflective markers disposed in a navigable environment
Implementation Method 2
a LiDAR transceiver configured to transmit signals to and receive return signals from light-reflective markers disposed in a navigable environment
Data Source
AI summary
Techniques for operating a navigation system are provided. An example method according to these techniques includes determining a first localization solution associated with a location of the vehicle in a navigable environment using a radar transceiver of the navigation system, determining a second localization solution associated with the location of the vehicle in the navigable environment using a LiDAR transceiver, a camera, or both of the navigation system, selecting a localization solution from the first and second localization solutions based on whether an accuracy of the first localization exceeds an accuracy of the second localization solution, and utilizing the selected vehicle localization solution for navigation of the vehicle through the navigable environment.