1 code implementation • 25 Nov 2024 • Georg Hess, Carl Lindström, Maryam Fatemi, Christoffer Petersson, Lennart Svensson
Ensuring the safety of autonomous robots, such as self-driving vehicles, requires extensive testing across diverse driving scenarios.
no code implementations • 24 Mar 2024 • Carl Lindström, Georg Hess, Adam Lilja, Maryam Fatemi, Lars Hammarstrand, Christoffer Petersson, Lennart Svensson
Specifically, we evaluate object detectors and an online mapping model on real and simulated data, and study the effects of different fine-tuning strategies. Our results show notable improvements in model robustness to simulated data, even improving real-world performance in some cases.
no code implementations • 7 Nov 2018 • Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
The proposed method can handle uncertainties in the data associations and the cardinality of the set of landmarks, and is parallelizable, making it suitable for large-scale problems.
1 code implementation • 4 Jan 2018 • Yuxuan Xia, Karl Granström, Lennart Svensson, Maryam Fatemi, Ángel F. García-Fernández, Jason L. Williams
The Poisson multi-Bernoulli mixture (PMBM) is a multi-object conjugate prior for the closed-form Bayes random finite sets filter.
1 code implementation • 20 May 2016 • Karl Granstrom, Maryam Fatemi, Lennart Svensson
Both the prediction and the update preserve the PMBM form of the density, and in this sense the PMBM density is a conjugate prior.