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A Method to Improve Safety and Control for Autonomous Vehicles Through Visible Light Communications

IP.com Disclosure Number: IPCOM000245482D
Publication Date: 2016-Mar-11
Document File: 2 page(s) / 180K

Publishing Venue

The IP.com Prior Art Database

Abstract

The core idea in this paper defines a method to improve safety and control of autonomous vehicles through visible light communication technologies. The method provides a comprehensive framework for enabling vehicle-to-neighbor vehicle and vehicle-to-infrastructure communications.

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A Method to Improve Safety and Control for Autonomous Vehicles Through Visible Light Communications

    The study of driverless and autonomous vehicles is a hot area. The driverless and autonomous vehicles market is expected to reach 42 billion by 2025 according to recent studies and reports. IEEE predicts that up to 75% of vehicles will be autonomous by 2040. In order to achieve driverless and autonomous operations, vehicles essentially have to perform sensory and communication functions. Current sensing is achieved by a suite of diverse sensors, such as cameras, radar and GPS.

    A big problem, however, is that vehicles infer the context through their sensors, and the vehicle-to-vehicle communication is a guessing game. Current communication is mostly through radio frequency or RF (i.e. DSRC, cellular, WiFi, etc.). However, RF is prone to attack and can be easily jammed. The disclosed method utilizes visible light communication or VLF to provide a more reliable form of communication between autonomous vehicles and the surrounding environment. A basic approaches includes the use of:

High frequency on/off, such as with flashing lights


Image sensors to recognize different image patterns (shape/color/intensity/on/off/etc.) LED arrays

The key idea and major features:

Use visible light communication to share vehicle information (i.e. trajectory, status, etc.) among neighboring vehicles.

Use visible light communication to share environment information such as road condition...