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[Udacity] Self-Driving Car Engineer v1.0.0

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. CO – CREATED WITH SKILL COVERED Computer VisionDeep LearningSensor FusionLocalization + MORE JOB OPPORTUNITIES Autonomous Vehicle EngineerSoftware Engineer, Planner & ControlsSystems

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.

CO – CREATED WITH

  • Mercedes
  • Nvidia
  • Uber ATG
  • Didi
  • BMW
  • McLaren
  • 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

  • Computer Vision
  • Deep Learning
  • Sensor Fusion
  • Localization

What You Will Learn

TERM 1

Computer Vision, Deep Learning, and Sensor Fusion

In this term, you’ll first apply computer vision and deep learning to automotive problems. You will teach the car to detect lane lines, predict steering angles, and more, all based on just camera data!

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

Learn with the best

Sebastian Thrun

Sebastian Thrun

UDACITY PRESIDENT

Scientist, educator, inventor, and entrepreneur, Sebastian led the self-driving car project at Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.

David Silver

David Silver

CURRICULUM LEAD

David Silver leads the Self-Driving Car Engineer Nanodegree Program. Before Udacity, David was a research engineer on the autonomous vehicle team at Ford. He has an MBA from Stanford, and a BSE in computer science from Princeton.

Ryan Keenan

Ryan Keenan

COURSE DEVELOPER

Ryan has a PhD in Astrophysics and a passion for teaching and learning. He is also a lead instructor in the Robotics Nanodegree program. When he’s not building Udacious learning content you’ll find him up in the mountains or out in the surf.

Cezanne Camacho

Cezanne Camacho

COURSE DEVELOPER

Cezanne is an expert in computer vision with an M.S. in Electrical Engineering from Stanford University. Inspired by anyone with the drive and imagination to learn something new, she aims to create more inclusive and effective STEM education.

Mercedes-Benz

Mercedes-Benz

MERCEDES-BENZ TEAM

Mercedes-Benz R&D North America develops the world’s most advanced automotive technology and vehicle design with luxury and style. The team from Mercedes built our Sensor Fusion, Localization, and Path Planning content.

NVIDIA

NVIDIA

NVIDIA TEAM

NVIDIA is a company built upon great minds and groundbreaking research. GPU deep learning has ignited modern AI – the next era of computing – with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

Uber ATG

Uber ATG

UBER ATG TEAM

The Advanced Technologies Group is comprised of Uber’s self-driving engineering team dedicated to self-driving technologies, mapping, and vehicle safety.

Elektrobit

Elektrobit

ELEKTROBIT TEAM

Benjamin Brentrop, Elektrobit’s Head of Functional Safety Consulting, has been working in the testing and functional safety field since 2006. In his current role at EB, he consults with OEM and Tier 1s, to provide functional safety knowledge and expertise for global automotive projects.

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