Autonomous vehicles increasingly play an important role in daily life. The Neutronomous car is a practical and affordable application of autonomous driving technology, putting real-time sensing and control in a one-tenth scale body ideal for food and package delivery across college campuses and small towns. A LiDAR scan works with our simultaneous localization and mapping (SLAM) algorithm to tell the car where it is, and our trajectory planning algorithm uses an occupancy grid map to determine the car’s path in an environment with obstacles. IMU data is used for odometry and as a feedback element in our PID controller algorithm to precisely control the car’s movement. All computation is handled on three Raspberry Pis that communicate with each other using the Robot Operating System (ROS) framework.