297 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chalmers University of TechnologySE10 papers
- University of GothenburgSE2 papers
- Aalto UniversityFI1 paper
- AI Sweden1 paper
- California Institute of TechnologyUS1 paper
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR1 paper
- Centre Inria de l'Université de LilleFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Columbia UniversityUS1 paper
- Dalle Molle Institute for Artificial Intelligence ResearchCH1 paper
- European Organization for Nuclear ResearchCH1 paper
- Fermi National Accelerator LaboratoryUS1 paper
14 papers
Scalable GPU Construction of 3D Voronoi and Power Diagrams
Bernardo Taveira, Carl Lindström, Maryam Fatemi +2
Voronoi diagrams, and their more general weighted counterpart, power diagrams, are fundamental geometric constructs with wide-ranging applications. Recently, they have gained renew…
Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models
Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner +2
DevOps is a necessity in many industries, including the development of Autonomous Vehicles. In those settings, there are iterative activities that reduce the speed of SafetyOps cyc…
Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems
Manas Mejari, Ankit Gupta, Dario Piga
We present a direct data-driven approach to synthesize robust control invariant (RCI) sets and their associated gain-scheduled feedback control laws for linear parameter-varying (L…
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson, Debabrota Basu, Tommy Tram +2
In this paper, we study the problem of transferring the available Markov Decision Process (MDP) models to learn and plan efficiently in an unknown but similar MDP. We refer to it a…
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander +3
Predicting the motion of other road agents enables autonomous vehicles to perform safe and efficient path planning. This task is very complex, as the behaviour of road agents depen…
Robust Stutter Bisimulation for Abstraction and Controller Synthesis with Disturbance: Proofs
Jonas Krook, Robi Malik, Sahar Mohajerani +1
This paper proposes a method to synthesise controllers for cyber-physical systems such that the controlled systems satisfy specifications given as linear temporal logic formulas. T…
Object Detection as Probabilistic Set Prediction
Georg Hess, Christoffer Petersson, Lennart Svensson
Accurate uncertainty estimates are essential for deploying deep object detectors in safety-critical systems. The development and evaluation of probabilistic object detectors have b…
Improving traffic sign recognition by active search
S. Jaghouar, H. Gustafsson, B. Mehlig +2
We describe an iterative active-learning algorithm to recognise rare traffic signs. A standard ResNet is trained on a training set containing only a single sample of the rare class…
Fast convolutional neural networks on FPGAs with hls4ml
Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti +17
We introduce an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional layers on FPGAs. By extending the hls4ml library, we demonstrate a…
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning
Tommy Tram, Anton Jansson, Robin Grönberg +2
This paper concerns automated vehicles negotiating with other vehicles, typically human driven, in crossings with the goal to find a decision algorithm by learning typical behavior…
Optimizing Reweighted Belief Propagation for Distributed Likelihood Fusion Problems
Christopher Lindberg, Julien M. Hendrickx, Henk Wymeersch
Belief propagation (BP) is a powerful tool to solve distributed inference problems, though it is limited by short cycles in the corresponding factor graph. Such cycles may lead to…
Poisson multi-Bernoulli conjugate prior for multiple extended object filtering
Karl Granstrom, Maryam Fatemi, Lennart Svensson
This paper presents a Poisson multi-Bernoulli mixture (PMBM) conjugate prior for multiple extended object filtering. A Poisson point process is used to describe the existence of ye…
A metric on the space of finite sets of trajectories for evaluation of multi-target tracking algorithms
Ángel F. García-Fernández, Abu Sajana Rahmathullah, Lennart Svensson
In this paper, we propose a metric on the space of finite sets of trajectories for assessing multi-target tracking algorithms in a mathematically sound way. The main use of the met…
Generalized optimal sub-pattern assignment metric
Abu Sajana Rahmathullah, Ángel F. García-Fernández, Lennart Svensson
This paper presents the generalized optimal sub-pattern assignment (GOSPA) metric on the space of finite sets of targets. Compared to the well-established optimal sub-pattern assig…