Abstract
In this innovative practice WIP paper, we present PyRoboCar, a low-cost deep neural network-based autonomous car project. PyRoboCar is a small-scale replication of a real self-driving car using a deep convolutional neural network (CNN), which takes images from a front fisheye camera as input and produces car steering angles as output. PyRoboCar uses a similar network architecture as industry-level autonomous cars and can drive itself in real-time using a camera, an additional Tensor Processing Unit, and a Raspberry Pi 4 platform. We have also made this project open online, including the code and instructions.
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