Correlative Receiver Wireless Mapping for Autonomous Vehicles
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Solution Overview
Problem
Current methods for determining the location and velocity of traffic participants in autonomous driving applications are limited by the need for wireless emitters and require complex infrastructure, making it difficult to track multiple emitters in a condensed geographic area without decoding or decrypting signal content.
Innovation Solution
The use of correlative receivers with multiple antennas to process signal inputs and determine geolocation and velocimetry information by analyzing spectral correlation and cyclic-autocorrelation functions, allowing for precise tracking of wireless emitters and reflections without decoding the signal content, and enabling real-time navigation for autonomous vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional wireless location methods are used to track traffic participants, then location information can be obtained, but the system requires complex infrastructure and wireless emitters, increasing device complexity and infrastructure requirements
Solution Approach 1:
The system uses passive receivers that detect and process wireless signals already present in the environment without requiring active cooperation from traffic participants. The receivers self-service by autonomously determining geolocation and velocimetry information from ambient signals, eliminating the need for infrastructure deployment and wireless emitters on traffic participants.
Solution Approach 2:
The patent replaces traditional active wireless communication systems with passive signal detection and processing. Instead of using mechanical/electronic emitters and complex infrastructure, the system substitutes a passive receiver that processes spectral correlation and cyclic-autocorrelation functions of ambient wireless signals to achieve location determination.
2Measurement precision
If spectral correlation analysis is performed on wireless signals to extract location information, then precise geolocation and velocimetry can be achieved, but computational complexity increases
Solution Approach 1:
The system extracts only the essential features needed for geolocation and velocimetry from wireless signals by computing spectral correlation and cyclic-autocorrelation functions. This extraction approach isolates the relevant signal characteristics while filtering out unnecessary information, achieving precise location determination with optimized computational requirements.
3Measurement precision
If multiple antennas are used to receive wireless emissions for improved tracking accuracy, then measurement precision improves, but device complexity and cost increase
Solution Approach 1:
The passive receiver system uses multiple antennas to simultaneously perform multiple functions: signal reception, spectral correlation analysis, cyclic-autocorrelation computation, geolocation determination, and velocimetry measurement. This multi-functionality allows the same antenna array to achieve various measurement objectives without requiring separate specialized systems for each function.
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
This approach enables real-time, precise tracking of traffic participants' locations and velocities, reducing computational burdens and infrastructure needs, allowing autonomous vehicles to navigate effectively in complex environments without requiring wireless emitters or complex networks.
Implementation Method 1
processing, using a correlative receiver, the pair of signal inputs to determine a set of geolocations and velocimetry information for the plurality of traffic participants
Implementation Method 2
Spectral correlation functions and cyclic-autocorrelation functions can be rich in information, providing statistical insights on received signals
Data Source
AI summary
Systems and methods for mapping location and characteristics about traffic participants are described. The systems and methods advantageously use correlative receivers for observing wireless emissions from or reflected by a plurality of traffic participants to allow for tracking geolocation and velocimetry information in real-time. The real-time geolocation and velocimetry information can be useful in autonomous vehicle navigation applications and useful for reducing computational burdens associated with tracking locations of many multiple traffic participants using direct sensor measurements, for example.