Home
Projects
Resources
Alternatives
Blog
Sign In
Deepanshut041 Self Driving Car Specialization
Save
Abandoned
Self -driving cars specialization by the university of toronto at coursera
Overview
Reviews
Resources
Project README
Self-Driving Cars Specialization
Content
Introduction to Self-Driving Cars
State Estimation and Localization for Self-Driving Cars
Visual Perception for Self-Driving Cars
Motion Planning for Self-Driving Cars
Objective
Understand the detailed architecture and components of a self-driving car software stack.
Implement methods for static and dynamic object detection, localization and mapping, behavior and maneuver planning, and vehicle control.
Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes.
Demonstrate skills in CARLA and build programs with Python.
Certificate
Open Source Agenda is not affiliated with "Deepanshut041 Self Driving Car Specialization" Project. README Source:
deepanshut041/self-driving-car-specialization
Stars
26
Open Issues
0
Last Commit
4 years ago
Tags
Carla Simulator
Coursera
Coursera Assignment Solution
Coursera Specialization
Python
Self Driving Car
Open Source Agenda Badge
Submit Review
Review Your Favorite Project
Submit Resource
Articles, Courses, Videos
Submit Article
Submit a post to our blog
From the blog
Dec 11, 2022
How to Choose Which Programming Language to Learn First?
From the blog
Dec 11, 2022
How to Choose Which Programming Language to Learn First?
Home
Projects
Resources
Alternatives
Blog
Sign In
Sign In to OSA
I agree with
Terms of Service
and
Privacy Policy
Sign In with Github