How does the course work?

Each AutoSens Academy module combines guided and interactive learning, in a flipped classroom approach, bringing together 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

Optics for ADAS and AVs

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

Computer Vision Part 1: Deep Learning and AI

As an introduction to Computer Vision, this module will cover deep learning and AI, including object detection, object classification and training. This module will give you a solid understanding of the various applications, and state-of-the-art technologies.

Instructor: Prof. Dr. Abhinav Valada, Assistant Professor & Director of Robot Learning Lab, University of Freiburg

AVAILABLE FROM: 24 MAY 2021

Image Sensors

Providing comprehensive coverage of all the key aspects of image sensor design and operation for automotive applications. You will learn how CMOS image sensors work and how to differentiate between image sensor type, design and function.

Instructor: Prof. Albert Theuwissen, Founder, Harvest Imaging

AVAILABLE FROM: 21 JUNE 2021

LiDAR for Automotive

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.

Instructor: Dr Paul McManamon, Technical Director, Lidar and Optical Communications Institute (LOCI)

AVAILABLE FROM: 19 JULY 2021

RADAR for Automotive

This module covers the different RADAR technology types, market status and technical considerations for RADAR use in automotive, including the latest innovations and how the performance window of RADAR sensors will evolve.

Instructor: Dr. Igal Bilik, Department of Electrical and Computer Engineering, Ben-Gurion University

AVAILABLE FROM: 6 SEPTEMBER 2021

Cameras for Automotive

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

Computer Vision Part 2: Algorithms

Going deeper into the world of computer vision this module will build on the deep learning and AI module to explore the use of and development of algorithms.

Instructor: Prof. Dr. Abhinav Valada, Assistant Professor & Director of Robot Learning Lab, University of Freiburg

AVAILABLE FROM: 1 NOVEMBER 2021

System Characterisation and Calibration

Building on the camaras 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

ISP Hardware

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

Principles of Functional Safety

This module will detail the foundations, current regulations and latest thinking in relation to functional safety in automotive, with a specific focus on ISO 26262 and SOTIF. The functional safety concept is a critical context for ADAS and AV development, and is a constantly evolving environment.

Instructor: TBA

AVAILABLE FROM: 7 FEBRUARY 2022

Optimising Image Quality

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: TBA

AVAILABLE FROM: 7 MARCH 2022

Simulation and Validation

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

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