原理就是这样,很简单。 2.Coursera self driving car Part1 FinalProject介绍 Part1 FinalProject参见我得另一篇博客里的2.1小节 Coursera self-driving car Part1 Final Project——无人车轨迹跟踪之MPC模型预测控制原理推导及Python实现 3.Python实现 这里只介绍关键代码的实现. 这个Final project里的设定是提供的way...
Although we estimate the drivable surface, we still have not determined where the car is allowed to drive on this surface. Usually, a vehicle should stay within its lane, determined by lane markings or the road boundaries. Lane estimation is the task of estimating where a self-driving car ca...
Welcome to the first module of our motion planning course. In this module, you will learn about the motion planning problem in autonomous driving. The motion planning problem is the task of navigating the ego vehicle to its destination in a safe and comfortable manner while following the rules ...
Many of us would have known family members or people who've had an accident whilst driving a car. That's a bad thing but after that accident, your neighbor doesn't necessarily get a better driver. Doesn't become a better driver. But with driverless cars in 20 years time, I'll be ab...
Let's take a look at the high level software architecture for a self driving car's software stack. As discussed in a previous video, the car observes the environment around it, using a variety of sensors. The raw sensor measurements are passed into two sets of modules dedicated to understan...
Now that we know the basic terminology involved in safety, let's think about the following question. How do we ensure our self-driving car is truly safe? That is, how do we take the complex task of driving and the many hazards that can occur, and define a safety assessment framework fo...
intersections and lead vehicles in the lane, can all be integrated to improve predictions for other vehicles. Given the complexity of making decisions for a single self-driving car, there is a limit to how many variables and how much depth of information in logic can be used, to improve ...
integrate controllers into a dynamic model. We also reviewed the PID controller and learned how to control the step response of a spring-mass damper system with PID control. In the next video, you will learn how to apply PID control to regulate the speed of a self-driving car. See you ...
are called feedforward. This is because information flows from the input x through some intermediate steps, all the way to the output Y without any feedback connections. The terms are used in the same way as we use them in Course 1, when describing control for our self-driving car. ...
So, we've seen that LIDAR can be used to measure distances and create a certain type of map, but how did they actually work, and how can we use them onboard a self-driving car? To build a basic LIDAR in one dimension, you need three components; a laser, a photodetector, and a...