Stockholm AI, ML & Computer Vision Meetup – Dec 18, 2024

Stockholm AI, ML & Computer Vision Meetup – Dec 18, 2024

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Stockholm AI, Machine Learning and Computer Vision Meetup

Dec 18, 2024 | 5:30 to 8:30 PM

Register for the event at Fotografiska

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Date, Time and Location

Date and Time

Dec 18, 2024 from 5:30 PM to 8:30 PM

Location

The Meetup will take place at Fotografiska, Stadsgårdshamnen 24

Autonomous Trucking and the AI Revolution

George Dibben
Scania Group

The challenges of L4 & L5 autonomous trucking has driven technological advancement in automation for many years. At present, development is evolving from hand-crafted algorithms and small-scale AI development towards all-in on AI. In this presentation we explore the machinery behind this that has been driven by advances in data, computer vision, perception and machine learning as we approach the AI revolution.

About the Speaker

George Dibben is a seasoned engineer, with a decade of experience working with autonomous heavy vehicles development at Scania, with multi-disciplinary experience across autonomous system and software development

How to Maintain a High Quality Map in a Scalable Way

Alessandro Pieropan
Univrses

One of the biggest challenges in HD mapping consists in keeping a high quality map up to date while reducing the human supervision close to zero. In this presentation, I will show the methodologies used at Univrses to build a scalable solution that allows to keep a high fidelity digital twin of the city while ingesting a continuous stream of data sent by a fleet of vehicles of arbitrary size.

About the Speaker

Alessandro Pieropan (CTO at Univrses) is an experienced computer vision engineer with over 10 years of experience in computer vision applications for robotics and autonomous driving.

How to Unlock More Value from Self-Driving Datasets

Dan Gural
Voxel51

AV/ADAS is one of the most advanced fields in Visual AI. However, getting your hands on a high quality dataset can be tough, let alone working with them to get a model to production. In this talk, I will show you the leading methods and tools to help visualize as well take these datasets to the next level. I will demonstrate how to clean and curate AV datasets as well as perform state of the art augmentations using diffusion models to create synthetic data that can empower the self driving car models of the future,

About the Speaker

Daniel Gural is a seasoned Machine Learning Engineer at Voxel51 with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data.

Adapting Object Detection Models for Construction Sites Using Federated Learning

Mohammadreza Mohammadi
Research Institute of Sweden

Federated Learning helps us to improve object detection models for autonomous construction equipment. Traditional adversarial training methods often fail in dynamic construction environments due to the lack of diverse real-world data and privacy concerns. By leveraging FL, we address these challenges, enabling continuous online learning without direct data exchange. Our approach enhances model robustness, adaptability, and privacy preservation, making it ideal for diverse and evolving construction sites.

About the Speaker

Mohammadreza Mohammadi is a an AI R&D Engineer at the RISE – Research Institute of Sweden. His research focus is on Distributed machine learning, privacy preserving data sharing, LLMs, and blockchain.