How does the course work?
Each AutoSens Academy module combines guided and interactive learning, in a flipped classroom approach, bringing together pre-recorded tutorials and self-driven research, live sessions with agile-based learning, homework and group exercises and extensive access to additional reading materials.
AutoSens Academy is a rolling 12-month programme, consisting of 1 module available every 4 weeks, with a Summer and Winter break.
Sign up at any time to gain 18 months access to the course.
AVAILABLE FROM: 29 MARCH 2021
This module will cover the optical scientific principles for all sensor modalities, covering theory and practice, including manufacturing considerations. Understanding the physical principles of how to capture images is the foundation for all ADAS and AV perception technologies.
Instructor: Prof. Dr. Alexander Braun, Professor of Physics, University of Applied Sciences, Duesseldorf
AVAILABLE FROM: 26 APRIL 2021
This module will provide you with a clear understanding of the foundational concepts in deep learning, challenges, applications, and the role that deep learning is playing in the rapid advancement of the field. This module will present, in terms of theory and practice, the fundamental concepts of deep learning, including the foundations of neural network architectures, and learning techniques.
Instructor: Prof. Dr. Abhinav Valada, Assistant Professor & Director of Robot Learning Lab, University of Freiburg
AVAILABLE FROM: 24 MAY 2021
Providing comprehensive coverage of all the key aspects of image sensor design and operation for automotive applications. You will learn what the building blocks of CMOS image sensors are and how to differentiate between image sensor type, design and function. Sessions include 3T and 4T Pixels, Temporal, Photon Shot and Fixed-Pattern Noise and Dynamic Range.
Instructor: Prof. Albert Theuwissen, Founder, Harvest Imaging
AVAILABLE FROM: 21 JUNE 2021
This module will cover the various LiDAR technology types, their design and build, their market status, and the technical considerations for using LiDAR in automotive. You will also learn about LiDAR receivers, optical beam steering and understand how to test LiDAR.
Instructor: Dr Paul McManamon, Technical Director, Lidar and Optical Communications Institute (LOCI)
AVAILABLE FROM: 19 JULY 2021
This module covers the different automotive radar technology, market status and technical considerations, including the latest innovations and future trends. It will cover unique propagation phenomena experienced by typical automotive radar and radar concepts that can address them. Finally, advanced topics, such as interference mitigation, and sensor fusion will be discussed.
Instructor: Dr. Igal Bilik, Department of Electrical and Computer Engineering, Ben-Gurion University
AVAILABLE FROM: 6 SEPTEMBER 2021
This module will cover the working principles of cameras and their automotive applications, including an overview of the full range of use cases in automotive, from driver monitoring to AEB to surround view and beyond.
Instructor: Prof. Dr. Alexander Braun, Professor of Physics, University of Applied Sciences, Duesseldorf
AVAILABLE FROM: 4 OCTOBER 2021
Perception is one of the most fundamental components of autonomous vehicles. This module will introduce you to the main computer vision tasks for autonomous vehicles and the standard deep learning techniques to solve them. This course will also provide critical concepts related to image processing, a review of essential datasets, and tools used in perception for autonomous vehicles.
Instructor: Prof. Dr. Abhinav Valada, Assistant Professor & Director of Robot Learning Lab, University of Freiburg
AVAILABLE FROM: 1 NOVEMBER 2021
Building on the cameras module, this module will explore practical applications of cameras in real-world scenarios. Gain a full understanding of calibration methods, pitfalls to avoid, impacts and considerations up and down the data processing chain.
Instructor: Uwe Artmann, CTO, Image Engineering
AVAILABLE FROM: 29 NOVEMBER 2021
This module will cover the full range of processor types, applications, tuning, and system architectures applied in automotive, including design and function, performance evaluation, and system-level considerations and implications.
Instructor: TBA
AVAILABLE FROM: 10 JANUARY 2022
This module will run through the principles of sensor fusion, their architecture, algorithms and automotive applications. Sensor fusion is one of the most important topics in the field of autonomous vehicles and you will understand how fusion algorithms can be created to improve vehicle perception.
Instructors: Prof. Wilfried Philips, Prof. Jan Aelterman and Dr. David Van Hamme, IPI Research Group, Ghent University
AVAILABLE FROM: 7 FEBRUARY 2022
This module will provide a detailed understanding of the key image quality factors for automotive imaging systems. Understand how to evaluate image quality, how to use KPIs and metrics to improve camera system performance, and the impact of image quality in real-world applications.
Instructor: Prof. Sophie Triantaphillidou, Director Computational Vision and Imaging Technology, School of Computer Science &, Engineering, University of Westminster
AVAILABLE FROM: 7 MARCH 2022
This module will cover the theory, strategy, tools, and technical considerations for sensor and system simulation, and the validation of ADAS/AV systems in a virtual environment. Understand the advantages, practical considerations and limitations of simulation and validation.
Instructor: TBA
Bonus Content
Participants will also have access to:
– Introductory material, including market overviews.
– Insights into the challenges of mass production for autonomous driving, with Prof. Dr. Alexander Braun.
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