Senior Design Team sddec18-18 • Object Detection and Identification with Sensor Fusion

Working with Deep learning to help using radar to help vehicles and other equipment track the range and velocity of objects.

As the agriculture and construction industries require autonomous solutions for increased safety and productivity, the need to sense objects in the equipment path increases. Examples include detecting people, animals, vehicles, and other large objects. There are many solutions on the market today using cameras and LIDAR. These solutions have limitations in weather and low light conditions. We were tasked with creating a system using radar to eliminate these limitations. Radar is able to operate in the dark, rain, snow, and fog. In some situations, radar can “see” through objects.

Our project consists of two main components: the implementation of a radar system and the development of a deep learning model. The radar system will allow us to detect objects in many different conditions. The deep learning model will use a camera to identify objects in the equipment’s path. This will allow for a notification to the equipment operator of objects in the vehicle's path and in the future, fully autonomous operation.

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