Tags: Engineer, Machine Learning, Mechanical Engineering, robotics, Self-driving cars, software engineering, transformational technology

NANODEGREE PROGRAM – nd013

Self Driving Car Engineer

Self-driving cars are set to revolutionize the way we live. This is transformational technology, on the cutting-edge of robotics, machine learning, software engineering, and mechanical engineering.

• SKILL COVERED

  Computer VisionDeep LearningSensor FusionLocalization

  + MORE

• JOB OPPORTUNITIES

  Autonomous Vehicle EngineerSoftware Engineer, Planner & ControlsSystems Engineer, Motion Control

  + MORE

• PREREQUISITES

  Intermediate Python or C++Basic Linear AlgebraBasic CalculusBasic StatisticsBasic Physics

  + MORE

• CLASSROOM OPENS

  05 December 2018

  DURATION

  6 MonthsWe recommend 10 hrs / week

Why Take This Nanodegree Program?

If your goal is to learn the skills necessary to become a self-driving car engineer, and then secure a rewarding role in the field where you can start applying those skills, this program is the ideal choice. The Self-Driving Car Engineer Nanodegree program is one of the only programs in the world that both teaches you the right skills, and supports you in obtaining a job.

Through interactive projects in computer vision, robotic controls, localization, path planning, and more, you’ll prepare for a successful career in the incredible field of autonomous systems.

Advance your Career

This program was built in collaboration with Self Driving Car engineers to ensure you learn the right skills necessary to succeed. Demand is skyrocketing and excitement is running high, but it’s important to see past the headlines to learn what it really takes to be a qualified Self Driving Car engineer. This program prioritizes mastering job-ready skills with a hands-on approach.

SKILLS COVERED

PREREQUISITE KNOWLEDGE

To optimize your chances for admission to the Self-Driving Car Engineer Nanodegree program, we’ve created a list of prerequisites and recommendations to prepare you for the program curriculum.See detailed requirements.

• Introduction

  Learn about how self-driving cars work and about the services available to you as part of the Nanodegree program.

  FINDING LANE LINES ON THE ROAD

• Computer Vision

  Use a combination of cameras and software to find lane lines on difficult roads and to track vehicles.

  ADVANCED LANE FINDINGBEHAVIORAL CLONING

• Deep Learning

  Deep learning has become the most important frontier in both machine learning and autonomous vehicle development. Experts from NVIDIA will teach you to build deep neural networks and train them with data from the real world and from the Udacity simulator.

  TRAFFIC SIGN CLASSIFIERVEHICLE TRACKING

• Sensor Fusion

  Tracking objects over time is a major challenge for understanding the environment surrounding a vehicle. Sensor fusion engineers from Mercedes-Benz will show you how to program fundamental mathematical tools called Kalman filters.

  EXTENDED KALMAN FILTERS

   

TERM 2

Localization, Path Planning, Control, and System Integration

Work with a team to program Carla, Udacity’s real self-driving car! Learn to localize Carla by evaluating camera, radar, lidar, and GPS data to determine Carla’s precise location, and learn to plan where she should go and how the vehicle’s systems work together to get her there.

PREREQUISITE KNOWLEDGE

To optimize your chances for admission to the Self-Driving Car Engineer Nanodegree program, we’ve created a list of prerequisites and recommendations to prepare you for the program curriculum.See detailed requirements.

• Localization

  Localization is how we determine where our vehicle is in the world. GPS is only accurate to within a few meters. We need single-digit centimeter-level accuracy! To achieve this, Mercedes-Benz engineers will demonstrate the principles of Markov localization to program a particle filter, which uses data and a map to determine the precise location of a vehicle.

  KIDNAPPED VEHICLEUNSCENTED KALMAN FILTERS

• Planning

  The Mercedes-Benz team will take you through the three stages of planning. First, you’ll apply model-driven and data-driven approaches to predict how other vehicles on the road will behave. Then you’ll construct a finite state machine to decide which of several maneuvers your own vehicle should undertake. Finally, you’ll generate a safe and comfortable trajectory to execute that maneuver.

  HIGHWAY DRIVING

• Control

  Ultimately, a self-driving car is still a car, and we need to send steering, acceleration, and brake commands to move the car through the world. Uber ATG will walk you through building a proportional-integral-derivative (PID) controller to actuate the vehicle.

  PID CONTROLLERMODEL PREDICTIVE CONTROL

• System Integration

  This is the capstone of the entire Self-Driving Car Engineer Nanodegree Program! We’ll introduce Carla, the Udacity self-driving car, and the Robot Operating System that controls her. You’ll work with a team of Nanodegree students to combine what you’ve learned over the course of the entire Nanodegree Program to drive Carla, a real self-driving car, around the Udacity test track!

  PROGRAMMING A REAL SELF-DRIVING CAR

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