Multi-Object Tracking for Automotive
This course is part of Sensor Fusion and Multi-Object Tracking.
This comprehensive course delves into multi-object tracking (MOT) for autonomous vehicles and automotive systems. Students will master key concepts including sensor integration, motion models, and advanced filtering techniques. The curriculum emphasizes practical applications through hands-on assignments implementing crucial algorithms. Course content covers camera, laser scanner, and radar sensor integration, with specific focus on tracking pedestrians and vehicles. While automotive-focused, the methods taught are applicable across various fields including surveillance, biological cell tracking, and space debris monitoring. The course builds upon sensor fusion concepts and explores the challenges of localizing multiple objects simultaneously.
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What you'll learn
Master advanced multi-object tracking principles and their automotive applications
Develop expertise in integrating multiple sensor types for object detection and tracking
Implement and optimize various multi-object tracking algorithms
Apply theoretical concepts to real-world autonomous vehicle scenarios
Gain practical experience with camera, laser scanner, and radar sensor integration
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This advanced course focuses on multi-object tracking systems essential for autonomous vehicles and automotive applications. The curriculum covers fundamental concepts of sensor fusion, motion modeling, and advanced filtering techniques. Students learn through a combination of theoretical instruction and practical implementation, gaining expertise in tracking multiple dynamic objects using various sensor types including cameras, laser scanners, and radar systems. The course emphasizes real-world applications while providing a strong theoretical foundation in tracking algorithms and sensor integration techniques.
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Sensor Fusion and Multi-Object Tracking
Instructors
1 Course
Professor at Chalmers University of Technology
Lennart Svensson is a Professor of Signal Processing at Chalmers University of Technology, where he earned both his M.S. (1999) and Ph.D. (2004) in electrical engineering. His research focuses on nonlinear filtering, multi-target tracking, deep learning, Bayesian inference, and reinforcement learning. A prolific contributor to multi-target tracking literature, he has received multiple awards for his publications. As an educator, Lennart has developed five courses in the past five years, promoting active learning through flipped classrooms and online lectures. His teaching excellence has earned him both Chalmers' annual Pedagogical Award and a best lecturer recognition.
1 Course
Expert in Multi-Object Tracking and Sensor Fusion at Chalmers
Dr. Yuxuan Xia, a Postdoctoral researcher in the Department of Electrical Engineering at Chalmers University of Technology, specializes in multi-object tracking and sensor fusion, with a particular focus on extended objects. Having earned both his M.Sc. in communication engineering (2017) and Ph.D. in signal processing (2022) from Chalmers, Xia has quickly established himself as a rising expert in his field. His research bridges advanced signal processing techniques with practical applications, especially in automotive systems, contributing to the development of sophisticated perception systems for autonomous vehicles and complex environments. Xia has co-organized tutorials on multi-object tracking at the Fusion conferences from 2020 to 2022, demonstrating his commitment to sharing knowledge in the field. As an instructor for the "Multi-Object Tracking for Automotive Systems" course and a contributor to the "Sensor Fusion and Multi-Object Tracking" professional certificate program, Dr. Xia plays a crucial role in educating the next generation of engineers and researchers in this rapidly evolving area of technology.
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Frequently asked questions
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