LIDAR Optical Communication for Vehicle Data Beyond Cellular Coverage
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Solution Overview
Problem
Existing communication technologies for vehicles, such as cellular and radio communications, face challenges in rural areas without infrastructure, high latency, bandwidth limitations, and signal saturation, making efficient communication between vehicles and infrastructure difficult.
Innovation Solution
Utilizing LIDAR devices for point-to-point communication by modulating optical signals for data transmission, allowing vehicles and infrastructure to exchange information directly without relying on centralized networks, thereby enhancing communication bandwidth and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cellular and radio communications are used for vehicle communication, then communication infrastructure coverage is improved, but bandwidth is limited and latency increases
Solution Approach 1:
The patent replaces traditional radio frequency communication systems with optical communication systems using LIDAR technology. The system transmits data through modulated laser beams directly between vehicles and infrastructure, eliminating the need for cellular networks and traditional radio communication infrastructure. This substitution of communication medium enables significantly higher bandwidth and lower latency while maintaining reliability in areas with or without cellular coverage.
2Reliability
If centralized communication networks are relied upon, then communication coverage is improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent extracts the communication function from centralized infrastructure and embeds it directly into vehicles and infrastructure devices through integrated LIDAR systems. Each vehicle and infrastructure component equipped with LIDAR can independently transmit and receive data through optical signals, eliminating dependency on centralized cellular networks or radio communication infrastructure. This extraction of communication capability from centralized systems reduces overall infrastructure complexity while maintaining broad coverage.
3Productivity
If optical signals are used for direct vehicle-to-vehicle communication, then communication bandwidth is improved, but signal saturation and interference may occur
Solution Approach 1:
The patent segments the optical communication spectrum by assigning unique modulation patterns, coding schemes, and temporal slots to different vehicles and infrastructure devices. Each LIDAR system uses distinct optical signatures and modulation techniques to transmit data, preventing signal saturation and interference even when multiple devices operate simultaneously in the same physical space. This segmentation of the optical communication domain enables high bandwidth operation without harmful interference.
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 reliable communication in areas without cellular coverage, supports vehicle localization, emergency notifications, and efficient navigation by providing real-time data exchange between vehicles and infrastructure, improving safety and operational efficiency.
Implementation Method 1
A light detection and ranging (LIDAR) device may be used to detect objects in an environment. A LIDAR device emits light at a specific frequency (such as at 800-1000 nm or at 1550 nm), and the LIDAR device receives reflections of the emitted light.
Implementation Method 2
Utilizing LIDAR devices for point-to-point communication by modulating optical signals for data transmission
Implementation Method 3
The LIDAR device then determines a time-of-flight (ToF) of the light to estimate distances of a number of reflective surfaces while scanning through an environment.
Implementation Method 4
A LIDAR device emits light at a specific frequency, and the LIDAR device receives reflections of the emitted light.
Data Source
AI summary
Systems and methods for performing operations based on LIDAR communications are described. An example device may include one or more processors and a memory coupled to the one or more processors. The memory includes instructions that, when executed by the one or more processors, cause the device to receive data associated with a modulated optical signal emitted by a transmitter of a first LIDAR device and received by a receiver of a second LIDAR device coupled to a vehicle and the device, generate a rendering of an environment of the vehicle based on information from one or more LIDAR devices coupled to the vehicle, and update the rendering based on the received data. Updating the rendering includes updating an object rendering of an object in the environment of the vehicle. The instructions further cause the device to provide the updated rendering for display on a display coupled to the vehicle.