Auto.AI Europe is the leading technical event on deep learning for SAE Level 4 & 5 automated vehicles that brings together more than 300 top-industry machine learning, neural networks, and perception experts and decision-makers.
Join us to discuss concepts for self-supervised and behavior-based learning, scalable approaches to machine and reinforcement learning, and benchmarking of perceptual and computer vision systems for ADs with your peers in the automotive AI community.
dSPACE will be presenting its hardware and software, and visitors will also have an opportunity to speak to dSPACE technical sales staff about current product innovations.
More information is available on https://www.auto-ai.eu/
Date: September 29, 11:30 a.m. CET
Title:
Leveraging Simulation Tools for Rare and Unseen Classes in Data Driven Development - Training Deep Learning Object Detectors with Synthetic Data
Abstract:
Collecting labeled real-world data is a time consuming and expensive task in data-driven development. What makes this task even more difficult is that without a data selection strategy, the collected data will result in an unbalanced data set. Even worse, some classes did not even exist at the time of data collection (e. g. the emergence of e-scooters and cargo bikes in recent years). In our talk, we will show how simulation tools can be used to address these issues by generating synthetic training data tailored to your needs.
Key Takeaways:
Drive innovation forward. Always on the pulse of technology development.
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