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
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SKILL COVERED
Computer VisionDeep LearningSensor FusionLocalization+ MORE
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JOB OPPORTUNITIES
Autonomous Vehicle EngineerSoftware Engineer, Planner & ControlsSystems Engineer, Motion Control+ MORE
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PREREQUISITES
Intermediate Python or C++Basic Linear AlgebraBasic CalculusBasic StatisticsBasic Physics+ MORE
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CLASSROOM OPENS
05 December 2018DURATION
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.
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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
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Computer Vision
Use a combination of cameras and software to find lane lines on difficult roads and to track vehicles.
ADVANCED LANE FINDINGBEHAVIORAL CLONING
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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
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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.
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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
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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
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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
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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
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
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
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
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 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 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 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 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.
Size: 7.17G
Please seed not downloading
Please upload it’s prerequisite: intro-to-self-driving-car-nanodegree–nd113, https://in.udacity.com/course/intro-to-self-driving-car-nanodegree–nd113
its not downloading
Can you please upload the Deep Learning Nanodegree?
Thank You Very Much ……….Please upload the Flying Car and Autonomous Flight Engineer Nanodegree……………
please intro to self driving car will be important for some one want to begin from scratch
https://mena.udacity.com/course/intro-to-self-driving-cars–nd113
and thanks for this great nanodegree
and what about the pre-request nd “https://mena.udacity.com/course/intro-to-self-driving-cars–nd113”
Please Guys Seed If You have Downloaded the Course.
Yes please do seed…else it won’t be alive.
Thanks for the course. Please upload part-2 also of this nano degree.
Thanks for course. the torrent is working.
Direct link –>
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can you give full link instead of “aHR0cHM6Ly9kcml2ZS5nb29nbGUuY29tL2RyaXZlL2ZvbGRlcnMvMXN1d0tZckR6bnktdEhlcDNxU0UwQXp1bGdYT3NvVExy”
Please get Udacity course on Computer Vision its valuable to me.
The torrent in this section is not working. It is not downloading. There are 0 seeders and peers to connect. Kindly lemme know if there is any direct link. I tried online services as well but it is not working.
If anyone has direct link kindly share.
Torrent is not downloading!!!!!! 🙁 🙁
please upload data science related nano degree.Everyone loves them
Does this contain part 2 of nanodegree?
Guys do check the initial seeding!
No seedrs!
I have downloaded and seeded around 5 times than size of the torrent, hope you people do the same and does not turn off the seeding process.
Unable to download!!! 0 peers and seeds!
https://in.udacity.com/course/intro-to-self-driving-car-nanodegree–nd113
Look into its pre-requisite course too: https://in.udacity.com/course/intro-to-self-driving-car-nanodegree–nd113
hey, i am looking for the into to self driving car course torrent if you were able to find would you please share the link on [email protected]
Thanks
0 peers and seeds!
Not downloading!!!!
Wow you are fast!
Flying Car and Autonomous Flight Engineer Nanodegree
please….