Blogs on autonomous driving » Lamarr Institute

00 Blog Sebastian Buschjaeger Ressource Aware ML - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Resource-aware Machine Learning: Concepts for greater energy efficiency

13. December 2023

Find out more about resource-aware machine learning (RAML) and data mining in this article. We highlight the growing energy consumption and present solutions using the example of autonomous driving....

00 Blog Weikhman Otten Object Detection 1 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Basics

Object Detection: How machines recognize objects

31. May 2023

With the help of object detection methods, machines can be trained to recognize and locate objects. In this blog post, we provide an overview of this area of computer vision....

00 Blog Sujan Semantic Concept Testing 9 - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Application

An Approach to Granular Testing of Deep Neural Networks

01. June 2022

Establishing rigorous testing and certification techniques is essential before deploying new technologies like Deep Learning (DL) in safety-critical applications. We propose a testing approach that could identify weaknesses in DL models....

00 Blog Akila Maram Joachim Sicking Unsicherheitsschaetzung - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Application

Uncertainty estimation: Knowing whether you know nothing

30. March 2022

AI applications are increasingly being used in critical areas where wrong decisions can potentially lead to personal injury or property damage. The use of uncertainty estimation can contribute to increased reliability in these situations....

00 Blog Adilova Pflanzen Strasse - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Research

Plants don’t walk on the street: Using human knowledge for reliable semantic segmentation

17. November 2021

Data-driven sensor interpretation in autonomous driving can sometimes lead to very implausible predictions. A partly human-designed, partly learned rule set can make existing deep neural networks that process low-level sensor information reliable....

00 Blog weickhmann - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Application

Priority for safe Machine Learning: On the robustness of neural networks

14. July 2021

Hostile attacks on Machine Learning prediction models, for example in autonomous driving, could lead to great (personal) damage. Defense mechanisms can be used to protect ML models and increase their robustness against attacks. ...

Research

The path to secure AI: an overview of practical methods

24. March 2021

Safety-critical systems, such as self-driving cars, place new high demands on AI models. Research into solutions is being carried out in many places, and a comprehensive overview has now been created by the "AI Safeguarding" consortium....