What you will learn

  • Gain exposure on Perception of Self-Driving car & sensors used in Autonomous Vehicles

  • Build computer vision algorithms using opencv library and python

  • Identification of lanes to identify the steering angle by tackling light intensity and image distortion

  • Detecting the obstacles in a given image by using computer vision

  • Car localization by using computer vision and autonomous car image data

About this Micro-Specialization

In this micro-specialization, you will learn the fundamentals of Python Programming and the basics of computer vision. Understand the use of OpenCV library for image translation, rotation, smoothing, sharpening, cropping, and calibration. Understand the sensors used in self-driving cars. Build a computer vision algorithm for lane detection by fitting a polynomial line and identifying the steering angle, Vehicle detection, and Self-Driving car localization given a set of image data.

Applied Projects

Every Micro-Specialization includes a hands-on project which will help you gain experience, then knowledge. In the specialization, learners will build the detailed computer vision models on lane detection, Vehicle detection, and Autonomous Car Visual Odometry, and the mentor in Live/recorded sessions and analyze the output of the algorithm based on selected parameters (Threshold, region of interest, image calibration, Perspective transformation parameters).

Detailed course content

Python Fundamentals

 

  1. Introduction to Python
  2. Introduction to operators, data types
  3. Operations in Python (Integers, floats, strings)
  4. Type Conversions & Booleans), Statements and Loops ( IF, IF - else & elif) 
  5. Functions (Arguments, Return & In-built functions) 
  6. Loops (for & while), break & continue
  7. Programming Topics such as Lists (Operations, Functions, Slices & Comprehensions)
  8. Dictionaries, Tuples, Sets, Arrays, Exceptions
  9. Advanced File Handling
  10. Modules & Packages, Libraries in Python (Numpy, Pandas & Matplotlib)
  11. Plots & Matrix Operations

 

Computer Vision

 

  1. Introduction to computer vision, rgb to grayscale conversion, Canny Edge Detection and Hough Transformation on an image
  2. Introduction to Camera Calibration and Image Distortion
  3. Image translation, rotation, resizing, sharpening and blurring
  4. Image processing essentials
  5. Learn to extract important features from image data
 


Lane Detection for Autonomous vehicles

 

  1. Introduction lane detection by using real life camera data
  2. Using canny edge detection to detect lanes
  3. RGB and HSV color space representation
  4. Perspective transformation of image
  5. Advanced lane detection by fitting a polynomial line



Obstacle detection based on image analysis

 

  1. Introduction to obstacle detection
  2. Region of interest and gaussian noise
  3. Programming object detection algorithm to detect object in a given region based on image analysis

 

Visual Odometry

 

  1. Introduction to odometry sensor, need, working and error propagation
  2. Introduction to localization and computer vision based localization
  3. Programming visual odometry for autonomous car localisation

             


Certification program offered by

Globally valid

“Decibels Lab is a Gov. of India recognised start-up under Start-up India by Ministry of Commerce & Industry. Located in Bangalore, involved in R&D of electric vehicle technologies, engineering services & online course development. Decibels has served over 10000+ learners from 8+ countries including participants from OEM’s, Tier 1/2/3 suppliers, academia & research.”

Decibels Lab Pvt Ltd

Pre-requisites 

None (Course will be taught from fundamentals)

Mode of delivery

Online

Software used

Python & OpenCV

Applicable for

 This course is for engineers who would like to build a career in Self-Driving cars, Autonomous Vehicles, Autonomous Systems, Mechatronics & more. 

Session formats

 Enrolled participants will get access to pre-recorded course lectures In decibels LMS. You can learn the courses as per your time planning.

Doubt clarification

 Addressed during via Discussions option available at each lesson In our LMS. If the query needs details discussion, we will support you through the zoom meeting. 

Course access duration

 5 months (150 days) 

Enroll now

  • Micro-Specialisation in Computer Vision for Autonomous Vehicles

    ₹34,999.00

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