Radar Chirp V2V Communication for Adverse-Weather Maneuver Planning

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Solution Overview

Problem

Existing vehicle-to-vehicle communication technologies, such as 5G cellular communication and WiFi, have limited range and do not effectively utilize radar for transmitting vehicle status and maneuver information, which is crucial for safe autonomous driving, especially in challenging weather conditions.

Innovation Solution

Implementing vehicle-to-vehicle communication using radar by embedding vehicle status and maneuver information in radar chirps, utilizing existing vehicle hardware, including radar and camera systems, to enhance communication range and safety.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Length of stationary object

If 5G cellular communication or WiFi is used for V2V communication, then vehicle status and maneuver information can be transmitted, but the communication range is limited

Engineering Contradiction:
Improvecommunication rangeVSAvoidcommunication reliability in adverse weather
Core Design Contradiction:
Length of stationary objectVSReliability

Solution Approach 1:

The radar system is made multi-functional by enabling it to perform both its traditional sensing function and V2V communication function simultaneously. The radar transceiver module transmits both sensing signals and embedded status information using the same hardware infrastructure, eliminating the need for separate communication devices and extending communication range beyond what 5G or WiFi can achieve alone.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent merges V2V communication functionality with the existing radar sensing system. By embedding status information and maneuver data within radar chirps, the system combines communication with sensing operations, allowing vehicles to exchange information over longer distances while maintaining reliability in adverse weather conditions where radar performs well.

Inventive Principle:
Principle #5Merging (Combining)

2Length of stationary object

If radar is used for V2V communication by embedding information in radar chirps, then communication range is extended, but device complexity increases

Engineering Contradiction:
Improvecommunication rangeVSAvoidsystem complexity
Core Design Contradiction:
Length of stationary objectVSDevice complexity

Solution Approach 1:

The radar transceiver module is designed to handle both sensing and communication tasks using the same hardware components. The processor generates waveform characteristic data that embeds status information within the radar chirp signals, allowing the existing radar infrastructure to perform dual functions without requiring entirely new communication hardware.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system utilizes its own radar signals to carry communication information, making the radar system self-sufficient for both sensing and communication needs. By embedding V2V information within the radar chirps that are already being transmitted for sensing, the system avoids the complexity of integrating separate communication transceivers and protocols.

Inventive Principle:
Principle #25Self-service

3Device complexity

If existing radar hardware is utilized for V2V communication, then additional hardware is avoided, but the ability to transmit comprehensive vehicle status information is limited

Engineering Contradiction:
Improvehardware complexityVSAvoidvehicle status information transmission
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The system changes the parameters of the radar waveform to encode additional information. By modifying waveform characteristic data such as frequency, amplitude, or phase of the radar chirps, the system embeds comprehensive vehicle status information including position, velocity, and planned maneuvers within the existing radar signal structure, maximizing information transmission capacity without adding hardware.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent adds an information-carrying dimension to the radar signal by embedding status data within the waveform characteristics. This allows the radar system to transmit not only distance and velocity information through traditional ranging but also additional dimensions of information such as vehicle status and maneuver intentions, effectively using the signal's temporal and spectral properties as additional communication channels.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

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

Enhances the planning of lane changes and maneuvers by providing robust vehicle-to-vehicle communication, especially in adverse weather conditions, using radar to transmit unique identifiers, positions, velocities, and planned maneuvers, improving safety and maneuver planning.

Implementation Method 1

Using radar for vehicle-to-vehicle (V2V) communication

Methodology Applied
Scientific EffectRadar: Radar

Implementation Method 2

communicate waveform characteristic data to a radar transceiver module

Methodology Applied
Scientific EffectElectromagnetic radiation: Electromagnetic Induction

Data Source

PatentUS12371054B1Using radar for vehicle-to-vehicle (V2V) communication
Publication Date: 2025.07.29 AMBARELLA INT LP
  • US12371054B1 patent drawing
  • US12371054B1 patent drawing
  • US12371054B1 patent drawing

AI summary

An apparatus comprises an interface and a processor. The interface may be configured to (i) receive sensor readings from a plurality of sensors of a vehicle, (ii) communicate waveform characteristic data to a radar transceiver module, and (iii) receive return data from the radar transceiver module. The processor may be configured to (i) generate first status information about the vehicle based on the sensor readings and (ii) generate the waveform characteristic data based on the first status information about the vehicle.