Automotive Camera [Apply Computer vision, Deep learning] - 1

Theoretical foundation of - Image Formation, Calibration, Object detection, Multi-object tracking for ADAS & AD

4.35 (391 reviews)
Udemy
platform
English
language
Engineering
category
Suchit Kr
instructor
Automotive Camera [Apply Computer vision, Deep learning] - 1
3,032
students
8.5 hours
content
Jan 2025
last update
$84.99
regular price

What you will learn

Basics of ADAS (Advanced Driver Assistance Systems) and Autonomous Driving

Understanding need and role of camera in ADAS and AD

Understanding different terminologies regarding camera

Camera Pin hole model, concept of Perspective Projection and derive homogenous equations for camera

Concepts of Extrinsic and Intrinsic camera calibration matrix

Understand breifly the process of doing intrinsic and extrinsic camera calibration

Concepts of Image classfication and Image localization

Concepts of Object detection including state of the art models - R-CNN, Fast R-CNN, Faster R-CNN, YOLOv3 and SSD

Image segmentation, what is instance and semantic segmentation & Mask R-CNN

Concept of multi object tracking, kalman filter, data association and how to do MOT for camera images

Screenshots

Automotive Camera [Apply Computer vision, Deep learning] - 1 - Screenshot_01Automotive Camera [Apply Computer vision, Deep learning] - 1 - Screenshot_02Automotive Camera [Apply Computer vision, Deep learning] - 1 - Screenshot_03Automotive Camera [Apply Computer vision, Deep learning] - 1 - Screenshot_04

Related Topics

Computer Vision
4122712
udemy ID
6/14/2021
course created date
12/16/2021
course indexed date
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