Udacity – Become a Sensor Fusion Engineer (Nanodegree Program 313) 2020-7

Udacity – Become a Sensor Fusion Engineer (Nanodegree Program 313) 2020-7 Downloadly IRSpace

Apr 17, 2025 - 10:03 Updated: Apr 20, 2025 - 18:10

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Udacity – Become a Sensor Fusion Engineer (Nanodegree Program 313) 2020-7

Become a Sensor Fusion Engineer published by Udacity Academy. Learn to combine lidar point clouds, radar signatures, and camera images using Kalman filters to understand the environment and detect and track vehicles and pedestrians over time.

Learn to identify obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data to accurately track objects, and create perception by rendering camera images in 3D and combining these predictions with other sensor data. Strengthen yourself. Combine this sensor data with Kalman filters to understand the world around a vehicle and track objects over time. Processing raw lidar data with filtering, segmentation and clustering to identify other vehicles on the road. Combine camera images with lidar point cloud data. You extract object features, classify objects, and render the camera image in 3D to combine with lidar data. Analyze radar signatures to identify and track objects. Calculation of velocity and direction with correction for radial velocity distortion, noise and occlusion. Combine multi-source data using Kalman filters and build unscented extended Kalman filters for nonlinear motion tracking.

What you will learn in the Become a Sensor Fusion Engineer course:

Lidar
Lidar obstacle detection
Cameras
Fusion camera and lidar
Radar
Detection of radar obstacles
Kalman filters
Odorless Kalman filters

Course specifications

Publisher: Udacity
Instructor: David Silver , Stephen Welch , Andreas Haja , Abdullah Zaidi , Aaron Brown
Language: English
Training level: Advanced
Training duration: 12 hours

Course topics

Become a Sensor Fusion Engineer

Course prerequisites

Advanced knowledge in any object-oriented programming language, preferably C++
Intermediate Probability
Intermediate Calculus
Intermediate Linear Algebra
Basic Linux Command Lines