RF Signal Tracking for Autonomous Vehicle Collision Avoidance
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Solution Overview
Problem
Current systems for detecting objects around autonomous vehicles rely heavily on radar, lidar, and camera systems, but additional methods are needed to enhance the accuracy of the vehicle's model of its surroundings, especially in scenarios where network connectivity is limited or visual obstructions occur.
Innovation Solution
A method and system that utilize radio-frequency (RF) signals emitted by electronic devices to detect the presence, location, and movement of objects without decoding the signal data, using multiple antennas with known positional arrangements to separate heterogeneous RF signals into homogeneous signals and estimate the object's track based on phase and amplitude, correlating this data with other sensor inputs like radar and lidar systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar, lidar, and camera systems are used for object detection, then the vehicle can detect objects in most conditions, but detection accuracy decreases in areas with limited connectivity or visual obstructions
Solution Approach 1:
The patent combines RF signal detection with traditional radar, lidar, and camera systems to create a fused perception system. The RF tracking system merges with existing sensor data to provide complementary object detection capabilities, particularly improving reliability in conditions where traditional sensors struggle such as visual obstructions or limited connectivity areas.
Solution Approach 2:
The RF signal acts as an intermediary detection method that bridges the gap when primary sensors (cameras, radar, lidar) fail or provide insufficient data. The system uses RF signals as a mediator to detect and track objects that other sensors cannot reliably detect, particularly in areas with visual obstructions or limited network connectivity.
2Adaptability or versatility
If multiple sensors (radar, lidar, camera) are integrated for comprehensive detection, then object detection coverage is improved, but system complexity increases
Solution Approach 1:
The RF detection system is designed to work universally with existing autonomous vehicle sensor suites (radar, lidar, cameras). The same RF tracking infrastructure can detect various objects emitting RF signals regardless of their type, providing multi-functional detection capability that integrates seamlessly with the vehicle's existing perception stack without requiring separate specialized systems for each object type.
3Measurement precision
If RF signals are used for additional object detection, then detection accuracy in limited connectivity areas is improved, but signal separation complexity increases
Solution Approach 1:
The patent segments heterogeneous RF signals from multiple sources into separate homogeneous signal streams for individual processing and tracking. By dividing the complex RF signal environment into distinct signal components, the system can apply specific tracking algorithms to each signal type, improving detection accuracy while managing processing complexity through structured signal separation.
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 provides an additional layer of accuracy in object detection, especially in scenarios where traditional sensors may fail, such as in areas with limited connectivity or visual obstructions, and can improve the overall perception of the vehicle's environment by fusing RF data with other sensor data, enhancing safety and navigation capabilities.
Implementation Method 1
estimating a track including a location relative to the known positional arrangement of the antennas of an object producing the RF signal based on phase and amplitude of each homogeneous signal as received at each of the plurality of antennas
Implementation Method 2
estimating a track including a location relative to the known positional arrangement of the antennas of an object producing the RF signal based on phase and amplitude of each homogeneous signal as received at each of the plurality of antennas
Data Source
AI summary
In an embodiment, a method includes separating a heterogeneous radio-frequency (RF) signal, received at multiple antennas, into multiple homogenous signals. The multiple antennas have a known positional arrangement. The method further includes estimating a location relative to the known positional arrangement of the antennas of an object producing the RF signal based on phase and amplitude of each homogeneous signal as received at each of the plurality of antennas. The location can further be estimated over multiple time steps, such that velocity and acceleration can be accelerated from the estimated locations.