When it comes to robotics, machine learning, and engineering, self-driving cars are at the cutting edge. Discover the tools and methods of leading-edge technology companies’ self-driving car teams.
Essential Machine Learning abilities frequently used in autonomous car engineering will be honed in Autonomous Car Course In Delhi. Everything from problem-solving and metric selection through model training and refinement is covered in this course on the whole cycle of Machine Learning projects.
This course will teach you how to handle raw digital photos before feeding them into different algorithms like neural networks, with a particular emphasis on the camera sensor. You’ll use TensorFlow to construct convolutional neural networks for image classification and detection. This course will introduce you to the entire Machine Learning process and help you get a firm grasp of the duties and responsibilities of a Machine Learning Engineer in the field of autonomous vehicles.
This course will teach you about sensor fusion, a crucial technology for autonomous vehicles. Regarding improving the resilience and dependability of self-driving cars, cameras aren’t the only sensors that rely on complimentary measuring concepts. Therefore, you’ll gain knowledge of the lidar sensor and how it functions as part of an autonomous vehicle’s comprehensive suite of sensors.
Discover how lidars function, compare and contrast the many types of lidars now on the market, and analyze essential factors to consider when choosing a lidar sensor. In addition, you’ll learn how to use a deep-learning strategy to spot things like cars in a 3D lidar point cloud and how to assess the quality of that finding with a battery of advanced metrics.
The second half of the course will focus on using an Extended Kalman Filter to combine camera and lidar detections and follow an item through time.
You will gain practical experience with multi-target tracking by creating, editing, and deleting tracks; assigning measurements to tracks via data association techniques; and juggling multiple tracks at once. The Autonomous Car Course In Pune will provide you with the knowledge and skills necessary to work as a sensor fusion engineer on autonomous vehicles.
Path planning determines the best action to take in an emergency and directs the vehicle there. A Mercedes-Benz Vehicle Intelligence team member will walk you through the three steps of the route planning process.
To begin, you’ll utilize model-driven and data-driven strategies to foretell the actions of other vehicles on the road. The next step is to build a finite state machine to help you choose among numerous possible activities for your car. At last, you’ll plot a path that allows you to perform that maneuver without risk or discomfort.
Once you know where you want to go, this course will show you how to get there. What controls to use, when, and how to guide a car along a path specified by coordinates. The most popular and fundamental controller, the Proportional Integral Derivative (PID) controller, will be covered in this course.
You’ll have a firm grasp on the fundamentals of feedback control and be able to apply that knowledge to the field of autonomous driving.