Master's Certification Program in Motion Planning and Trajectory Generation (ADAS)

The fact that Autonomous vehicles are self-driven is what gives them their name. The vehicle will drive the passenger to the destination address if the passenger enters it.

Although all of this may sound simple, there are many details that must be taken into account when driving. This includes details like the route to follow, how to avoid obstacles, what speed to follow, and any other limitations any human being (given their experience driving) might need to consider while moving from one place to the next.

To do this, an intricate algorithm must be created to ensure safe driving. Motion planning and trajectory generation are two ways to navigate the car from one place to another. This domain is complex and requires a distinct expertise.

Skill Lync's new course, which is also based on this subject, has been designed with this in mind. This course is specially designed to help students understand the subject and make learning enjoyable. We believe this is possible by giving students hands-on experience and changing the learning experience to make it fun.

The course is broken down into five modules to help students grasp the subject. Each module has a 12 week duration and includes a challenge each week as well as 2 major projects. Our technical experts will provide assistance to students throughout the course. This helps make learning more enjoyable.

These modules are part of the master course in motion planning and trajectory optimization.

Core and Advanced Python ProgrammingData structures and Algorithms
Simulink and MATLAB are used to control autonomous vehicles
Introduction to ROS/Github/Linux
Numerical Optimization
C++ & ROS: Path Planning and Trajectory Optimization