07-01-2021 дата публикации
Номер: US20210005086A1
Described herein is an autonomous vehicle collision avoidance system designed to detect and deter animals from the road. An automotive ‘deer whistle’ is integrated into an autonomous sensor suite. The sensor suite detects animals using cameras, identifies them and their hearing range using machine learning algorithms, and deters them by emitting animal-specific sound pulses. The system also notifies the driver, may trigger a braking or honking sequence, adjusts subsequent noise emissions based on animal feedback, and collect data on collisions or near collisions for analysis at a central repository. Also described herein is a business model to encourage consumer adoption of the device, wherein the device is distributed to consumers as insurance policy incentive. 1. An automotive collision avoidance system comprised of:a. an ultrasonic pulse emitting device, which is further comprised of a siren waveform generator, an output driver, an electro-acoustic transducer, an amplifier, a processor mounted on a printed circuit board, a controller, networking hardware, a power source, which emits a range of sound frequencies between 10 -100 kHz, in a plurality of pulse patterns,b. and an impact and debris resistant shell,c. machine learning algorithms,d. sensors, which may include infrared cameras, RGB (visible light) cameras, LiDAR sensors, radar sensors, or combination thereof,e. connection to a local computer with a display, such as a driver's smartphone, or the vehicle's onboard computer,f. connection to a remote database, from said device or from the local computer, whereby, the sensors feed image data from the environment to the processor, whereby the machine learning algorithms detect and classify an animal or animals in the device's field of view; whereby upon receipt of instructions from the machine learning algorithm regarding the animal's presence and hearing range, the device initiates a biologically-appropriate ultrasound pulse or pulses, may also initiate an ...
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