[SOLVED] Assignment 7. car tracking csed342

This assignment is a modified version of the Driverless Car assignment written by Chris Piech. A study by the World Health Organisation found that road accidents kill a shocking 1.24 million people a year worldwide.In response, there has been great interest in developing autonomous driving technology that can drive with calculated precision and reduce this death toll. Building an autonomous driving system is an incredibly complex endeavor. In this assignment, you will focus on the sensing system, which allows us to track other cars based on noisy sensor readings. Getting started. Let’s start by trying to drive manually: python drive.py -l lombard -i none You can steer by either using the arrow keys (↑, ←, →) or ’w’, ’a’, and ’d, and quit drive.py by using ’q’.Note that you cannot reverse the car or turn in place. Your goal is to drive from the start to finish (the green box) without getting in an accident. How well can you do on crooked Lombard street without knowing the location of other cars? Don’t worry if you aren’t very good; the staff was only able to get to the finish line 4/10 times.This 60% accident rate is pretty abysmal, which is why we’re going to build an AI to do this. Flags for python drive.py: • -a: Enable autonomous driving (as opposed to manual). • -i : Use none, exactInference, particleFilter to (approximately) compute the belief distributions. • -l