Case Study
Monday, September 25
11:30 AM - 12:00 PM
Live in Berlin
Less Details
In recent years, parking cameras have become increasingly popular in the automotive industry as an aid for drivers to park safely and efficiently. As part of this process, new technologies, such as Neural networks and AI are also integrated into parking solutions. While autonomous vehicles on highways and in cities are receiving more attention, parking cameras present unique challenges and opportunities that deserve attention. This is relevant for neural networks, since the data variations parking are unique and less standardized as public roads. In this presentation, we will discuss the role of parking cameras in the automotive industry, the challenges involved in their implementation, and compare them to the challenges faced by autonomous vehicles on highways and cities. The audience will:
• Understand the unique challenges and opportunities of parking cameras compared to autonomous vehicles on highways and cities. Including specific data and neural networks.
• Learn how parking cameras can improve the driving experience
• Gain insights into the future developments of parking camera technology and its integration into autonomous vehicles
Thomas Guthier is a highly accomplished professional in machine learning and camera algorithms, currently serving as the Department Head of Camera Algorithms at Hyundai MOBIS. With over 8 years of experience, he has made significant contributions to the development and optimization of advanced camera algorithms for Hyundai's vehicles. As a Team Leader in Machine Learning at Hyundai MOBIS, he leads a team dedicated to applying machine learning techniques in automotive technology, keeping the company at the forefront of innovation. Thomas's extensive experience, educational background, and current position enable him to make valuable contributions to the field of automotive technology and machine learning, establishing him as a highly respected professional in his field.
The Pop in Your Job – What drives you? Why do you love your topic?
Make vehicles more safe, especially for VRU (Vulnerable Road Users). This is my key motivation.
Explore new technologies, such as artificial neural networks in the large scale automotive / robotics field, while staying commercially affordable.