Master's Certification Program in Motion Planning and Trajectory Generation (ADAS)
- Offered bySkill Lync
Master's Certification Program in Motion Planning and Trajectory Generation (ADAS) at Skill Lync Overview
Duration | 12 months |
Total fee | ₹1.75 Lakh |
Mode of learning | Online |
Credential | Certificate |
Master's Certification Program in Motion Planning and Trajectory Generation (ADAS) at Skill Lync Highlights
- Earn a certificate of completion from skill-lync
- Learn industry-relevant skills from technical experts
- Get a paid internship after completing the course
- Work on projects, publish to your profile and get hired in top companies
- Interaction with Industry Experts through webinars and weekend workshops
Master's Certification Program in Motion Planning and Trajectory Generation (ADAS) at Skill Lync Course details
- Designed for students to learn the intricacies of the subject and make learning fun
- Core and Advanced Python Programming
- Data structures & Algorithms
- Autonomous Vehicle Controls using MATLAB and Simulink
- Introduction to ROS/Github/Linux
- Numerical Optimization
- Path Planning & Trajectory Optimization Using C++ & ROS
- This program teaches the student everything they need to know about motion planning in Autonomous Vehicles
- These include specific details such as the path to take, the obstacles on the road to avoid, the speed to follow and foreseeing any other limitations that any human will take care of while navigating from one place to another
- This variation of navigating the car from one point to another comes under motion planning and trajectory generation
- Course Fees for Premium version INR 25000 per month
- Basic and Pro courses are also available
- Course fees for Basic and Pro version INR 15000 per month & INR 20000 per month
Master's Certification Program in Motion Planning and Trajectory Generation (ADAS) at Skill Lync Curriculum
Core and Advanced Python Programming
Introduction to Python, Python Basics
Strings, Decision control statements
Repetition Statements, Console input-output
Lists, Tuples, Sets, Dictionary
Functions and Recursion, Functional Programming and Lambda functions
File Input-Output, Modules
Classes and objects
Exception handling, Iterators and generators
Data Analysis with Pandas
Numeric and Scientific Computing using Numpy
Graphical User Interfaces with Tkinter
Interacting with Databases
Data Structures and Algorithms
Introduction
Arrays, Strings, and Lists
Stacks and Queues
Trees
Heaps and Tries
Graphs & Algorithms
Sorting
Searching and Hashing
Greedy Algorithms
Divide and Conquer
Backtracking
Dynamic Programming
Autonomous Vehicle Controls using MATLAB and Simulink
Course Overview
Classical Controls Overview
Start of Project - Adaptive Cruise Control
Longitudinal Controller Design
Adaptive Vehicle Speed Control
Adaptive Cruise Control - ADAS Modeling
Adaptive Cruise Control
Improvement to Adaptive Cruise Control
Lateral Control Model
Continuation of Lane Centering Feature
Lane Centering Feature Modification
Major Project
Introduction to ROS
Introduction to Autonomous vehicles
Introduction to Linux system
ROS Introduction
Programming Basics for Robotics
ROS Filesystem Concepts
ROS Computation Graph Concepts -I
ROS Computation concepts and visualization
ROS for autonomous vehicles
Mobile Robotics: Basics
Mobile Robotics: Perception
Mobile Robotics: Localization and Mapping
Mobile Robotics: Path planning
Numerical Optimization
Strategies for optimization problem formulations
Unconstrained Optimization
Conjugate Gradient Methods
Quasi-Newton methods
Nongradient optimization
Least-Squares problem
Constrained optimization
Duality
Lagrange multiplier algorithms
Convex Programming
Dynamic optimization technique
Path Planning & Trajectory Optimization Using C++ & ROS
Introduction
Configuring Space for Motion planning
Random sampling-based motion planning
Robot Operating System
Motion planning with Non-holonomic robots
Mobile Robot collision detection
Hierarchical planning for Autonomous Robots
Trajectory planning
Planning Algorithm
Planning in unstructured environments
Reinforcement learning for planning
Conclusion
Master's Certification Program in Motion Planning and Trajectory Generation (ADAS) at Skill Lync Entry Requirements
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