Institution · Zenuity (Sweden)
Most cited papers from Zenuity (Sweden)
What are the most cited papers from Zenuity (Sweden)?
The most cited paper from Zenuity (Sweden) is "Generalized optimal sub-pattern assignment metric" (Abu Sajana Rahmathullah, Angel F. Garcia-Fernandez, Lennart Svensson, 2017), with 295 citations. Next come "Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering" (183) and "Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments" (182).
Showing 50 of 59 papers. Every paper with more than 9 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Generalized optimal sub-pattern assignment metric Abu Sajana Rahmathullah, Angel F. Garcia-Fernandez, Lennart Svensson | Jul 2017 | 295 |
| 2 | Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering Karl Granström, Maryam Fatemi, Lennart Svensson · IEEE Transactions on Aerospace and Electronic Systems | 4 Jun 2019 | 183 |
| 3 | Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments Yue Kang, Y. D. Hang, Christian Berger · IEEE Transactions on Intelligent Vehicles | 13 Mar 2019 | 182 |
| 4 | Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study Xinhai Zhang, Jianbo Tao, Kaige Tan et al. · IEEE Transactions on Software Engineering | 26 Apr 2022 | 160 |
| 5 | Collision Avoidance: A Literature Review on Threat-Assessment Techniques John Dahl, Gabriel Rodrigues de Campos, Claes Olsson et al. · IEEE Transactions on Intelligent Vehicles | 13 Dec 2018 | 134 |
| 6 | Fast convolutional neural networks on FPGAs with hls4ml Thea Aarrestad, Vladimir Loncar, Nicolò Ghielmetti et al. · Machine Learning Science and Technology | 25 Jun 2021 | 130 |
| 7 | 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 · IEEE Transactions on Signal Processing | 2020 | 112 |
| 8 | Using Extreme Value Theory for Vehicle Level Safety Validation and Implications for Autonomous Vehicles Daniel Åsljung, Jonas Nilsson, Jonas Fredriksson · IEEE Transactions on Intelligent Vehicles | 2 Nov 2017 | 111 |
| 9 | Fast convolutional neural networks on FPGAs with hls4ml T. K. Aarrestad, Vladimir Lončar, Nicolò Ghielmetti et al. · DSpace@MIT (Massachusetts Institute of Technology) | 2021 | 97 |
| 10 | Autonomous Vehicles: State of the Art, Future Trends, and Challenges Piergiuseppe Mallozzi, Patrizio Pelliccione, Alessia Knauss et al. | 2019 | 87 |
| 11 | Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods Karl Granström, Lennart Svensson, Stephan Reuter et al. · IEEE Transactions on Intelligent Vehicles | 4 Jan 2018 | 83 |
| 12 | Towards an Operational Design Domain That Supports the Safety Argumentation of an Automated Driving System Magnus Gyllenhammar, Rolf Johansson, Fredrik Warg et al. · KTH Publication Database DiVA (KTH Royal Institute of Technology) | 2020 | 64 |
| 13 | Geometric deep learning and equivariant neural networks Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson et al. · Artificial Intelligence Review | 4 Jun 2023 | 62 |
| 14 | Accident Scenario Generation with Recurrent Neural Networks Ian Rhys Jenkins, Ludvig Oliver Gee, Alessia Knauss et al. | Nov 2018 | 62 |
| 15 | VaBUS: Edge-Cloud Real-Time Video Analytics via Background Understanding and Subtraction Hanling Wang, Qing Li, Heyang Sun et al. · IEEE Journal on Selected Areas in Communications | 16 Nov 2022 | 61 |
| 16 | Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering Yuxuan Xia, Karl Granström, Lennart Svensson et al. · IEEE Transactions on Aerospace and Electronic Systems | 10 Sep 2021 | 58 |
| 17 | Real-time constrained trajectory planning and vehicle control for proactive autonomous driving with road users Paolo Falcone · IRIS UNIMORE (University of Modena and Reggio Emilia) | 2019 | 58 |
| 18 | Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning Tommy Tram, Anton Jansson, Robin Grönberg et al. | Nov 2018 | 57 |
| 19 | A Robust Scenario MPC Approach for Uncertain Multi-Modal Obstacles Ivo Batkovic, Ugo Rosolia, Mario Zanon et al. · IEEE Control Systems Letters | 3 Jul 2020 | 53 |
| 20 | Pedestrian tracking using Velodyne data — Stochastic optimization for extended object tracking Karl Granström, Stephan Renter, Maryam Fatemi et al. | Jun 2017 | 44 |
| 21 | Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments Ivo Batkovic, Ankit Gupta, Mario Zanon et al. · IEEE Transactions on Control Systems Technology | 27 Jul 2023 | 39 |
| 22 | Safe Trajectory Tracking in Uncertain Environments Ivo Batkovic, Mohammad Ali, Paolo Falcone et al. · IEEE Transactions on Automatic Control | 2022 | 37 |
| 23 | Unveiling the Power of Deep Tracking Goutam Bhat, Joakim Johnander, Martin Danelljan et al. · Lecture notes in computer science | 2018 | 36 |
| 24 | Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml Nicolò Ghielmetti, Vladimir Lončar, M. Pierini et al. · Machine Learning Science and Technology | 21 Oct 2022 | 34 |
| 25 | Semi-Automatic Annotation of Objects in Visual-Thermal Video Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney et al. | Oct 2019 | 32 |
| 26 | Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling Henrik Arnelid, Edvin Listo Zec, Nasser Mohammadiha | Oct 2019 | 30 |
| 27 | Dense Gaussian Processes for Few-Shot Segmentation Joakim Johnander, Johan Edstedt, Michael Felsberg et al. · Lecture notes in computer science | 2022 | 28 |
| 28 | Intersection AEB implementation strategies for left turn across path crashes Ulrich Sander, Nils Lübbe, Sylvia Pietzsch · Traffic Injury Prevention | 12 Jun 2019 | 27 |
| 29 | Engineering Safety Requirements for Autonomous Driving with Large Language Models Ali Nouri, Beatriz Cabrero‐Daniel, Fredrik Törner et al. | 24 Jun 2024 | 24 |
| 30 | Towards explainable motion prediction using heterogeneous graph representations Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander et al. · Transportation Research Part C Emerging Technologies | 6 Nov 2023 | 24 |
| 31 | The Quantitative Risk Norm - A Proposed Tailoring of HARA for ADS Fredrik Warg, Martin A. Skoglund, A. C. Thorsen et al. | Jun 2020 | 23 |
| 32 | Robust Multispectral Visual-Inertial Navigation With Visual Odometry Failure Recovery Axel Beauvisage, Kenan Ahıska, Nabil Aouf · IEEE Transactions on Intelligent Transportation Systems | 30 Aug 2021 | 21 |
| 33 | Continuous Deployment for Dependable Systems with Continuous Assurance Cases Fredrik Warg, Hans H. Blom, Jonas Borg et al. | Oct 2019 | 21 |
| 34 | Derivation of the discrete-time constant turn rate and acceleration motion model Daniel Svensson | Oct 2019 | 21 |
| 35 | Safe autonomous lane changes in dense traffic Rajashekar Chandru, Yuvaraj Selvaraj, Mattias Brännström et al. | Oct 2017 | 20 |
| 36 | Welcome Your New AI Teammate: On Safety Analysis by Leashing Large Language Models Ali Nouri, Beatriz Cabrero‐Daniel, Fredrik Törner et al. | 14 Apr 2024 | 19 |
| 37 | Requirements and software engineering for automotive perception systems: an interview study Khan Mohammad Habibullah, Hans-Martin Heyn, Gregory Gay et al. · Requirements Engineering | 24 Jan 2024 | 19 |
| 38 | Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep | Nov 2018 | 19 |
| 39 | Design and Formal Verification of a Safe Stop Supervisor for an Automated Vehicle Jonas Krook, Lars E.O. Svensson, Yuchao Li et al. | May 2019 | 18 |
| 40 | Prediction-Uncertainty-Aware Threat Detection for ADAS: A Case Study on Lane-Keeping Assistance John Dahl, Gabriel Rodrigues de Campos, Jonas Fredriksson · IEEE Transactions on Intelligent Vehicles | 7 Mar 2023 | 17 |
| 41 | ParkPredict: Motion and Intent Prediction of Vehicles in Parking Lots Xu Shen, Ivo Batkovic, Vijay Govindarajan et al. | 19 Oct 2020 | 17 |
| 42 | Verification of Decision Making Software in an Autonomous Vehicle: An Industrial Case Study Yuvaraj Selvaraj, Wolfgang Ahrendt, Martin Fabian · Lecture notes in computer science | 2019 | 17 |
| 43 | The Road to Safe Automated Driving Systems: A Review of Methods Providing Safety Evidence Magnus Gyllenhammar, Gabriel Rodrigues de Campos, Martin Törngren · IEEE Transactions on Intelligent Transportation Systems | 30 Jan 2025 | 15 |
| 44 | Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models John Martinsson, Nasser Mohammadiha, Alexander Schliep | Nov 2018 | 15 |
| 45 | NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving William Ljungbergh, Adam Tonderski, Joakim Johnander et al. · Lecture notes in computer science | 29 Oct 2024 | 14 |
| 46 | Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander et al. · CAAI Transactions on Intelligence Technology | 5 Jun 2023 | 14 |
| 47 | Formal Development of Safe Automated Driving Using Differential Dynamic Logic Yuvaraj Selvaraj, Wolfgang Ahrendt, Martin Fabian · IEEE Transactions on Intelligent Vehicles | 6 Sep 2022 | 14 |
| 48 | A Statistical GPS Error Model for Autonomous Driving Erik Karlsson, Nasser Mohammadiha | Jun 2018 | 12 |
| 49 | Data-Driven Computation of Robust Invariant Sets and Gain-Scheduled Controllers for Linear Parameter-Varying Systems Manas Mejari, Ankit Gupta, Dario Piga · IEEE Control Systems Letters | 2023 | 11 |
| 50 | Recurrent Graph Neural Networks for Video Instance Segmentation Emil Brissman, Joakim Johnander, Martin Danelljan et al. · International Journal of Computer Vision | 18 Nov 2022 | 11 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.