Lars Hammarstrand
Forskarassistent at
Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing
Lars Hammarstrand is a Post-Doctoral Research Fellow in the Signal processing research group. His main research interests are in the fields of tracking, sensor data fusion and non-linear estimation and filtering, especially with application to automotive active safety systems. Lars is involved in the Non-Hit Car & Truck project, supporting the Volvo Car vision on total elimination of accidents in Volvo cars by 2020. He also mentors PhD students and teaches graduate and undergraduate courses in, e.g., non-linear filtering and linear systems and transforms.
Source: chalmers.se
Projects
2013–2015
SICS - Safe Interaction, Connectivity and State v2
Tomas McKelvey
Signal Processing
Malin Lundgren
Signal Processing
Lars Hammarstrand
Signal Processing
VINNOVA
2013–2016
Fordonspositionering och ruttprediktion
Tomas McKelvey
Signal Processing
Lennart Svensson
Signal Processing
Lars Hammarstrand
Signal Processing
Erik Stenborg
Signal Processing
VINNOVA
There might be more projects where Lars Hammarstrand participates, but you have to be logged in as a Chalmers employee to see them.
Publications
2017
Poisson Multi-Bernoulli Mapping Using Gibbs Sampling
Lars Hammarstrand, Maryam Fatemi, Karl Granström et al
IEEE Transactions on Signal Processing. Vol. 65 (11), p. 2814-2827
Journal article
2016
Coordination of Cooperative Autonomous Vehicles Toward safer and more efficient road transportation
Lars Hammarstrand, Erik M Steinmetz, Gabriel Rodrigues de Campos et al
IEEE Signal Processing Magazine. Vol. 33 (6), p. 74-84
Journal article
2016
Using a single band GNSS receiver to improve relative positioning in autonomous cars
Erik Stenborg, Lars Hammarstrand
IEEE Intelligent Vehicles Symposium, Proceedings. 2016 IEEE Intelligent Vehicles Symposium, IV 2016; Gotenburg; Sweden; 19 - 22 June 2016. Vol. 2016-August, p. Art no 7535498, Pages 921-926
Paper in proceedings
2016
Driver-Gaze Zone Estimation Using Bayesian Filtering and Gaussian Processes
Lars Hammarstrand, Tomas McKelvey, Malin Lundgren
IEEE Transactions on Intelligent Transportation Systems. Vol. 17 (10), p. 2739-2750
Journal article
2016
Long-range road geometry estimation using moving vehicles and road-side observations
Maryam Fatemi, Angel Garcia, Lars Hammarstrand et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 17 (8), p. 2144-2158
Journal article
2016
Variational Bayesian Expectation Maximization for Radar Map Estimation
Malin Lundgren, Lars Hammarstrand, Lennart Svensson
IEEE Transactions on Signal Processing. Vol. 64 (6), p. 1391-1404
Journal article
2016
Poisson Multi-Bernoulli Radar Mapping Using Gibbs Sampling
Maryam Fatemi, Lars Hammarstrand, Lennart Svensson et al
Preprint
2015
Flipping a PhD course using movies from a MOOC
Lars Hammarstrand, Lennart Svensson, Christian Stöhr
Proceedings från 5:e Utvecklingskonferensen för Sveriges ingenjörsutbildningar, Uppsala, November 18-19, 2015. Vol. 5, p. 168-171
Paper in proceedings
2015
Variational Bayesian EM for SLAM
Lars Hammarstrand, Lennart Svensson, Malin Lundgren et al
IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015, Cancun, Mexico, 13-16 Dec. 2015, p. 501-504
Paper in proceedings
2014
Bayesian Road Estimation Using Onboard Sensors
Lennart Svensson, Lars Hammarstrand, Maryam Fatemi et al
IEEE Transactions on Intelligent Transportation Systems. Vol. PP (99), p. 1-14
Journal article
2014
Vehicle self-localization using off-the-shelf sensors and a detailed map
Malin Lundgren, Erik Stenborg, Lars Hammarstrand et al
IEEE Intelligent Vehicles Symposium, Proceedings, p. 522-528
Paper in proceedings
2014
Road Geometry Estimation Using a Precise Clothoid Road Model and Observations of Moving Vehicles
Lennart Svensson, Angel Garcia, Maryam Fatemi et al
17th International IEEE Conference on Intelligent Transportation Systems October 8-11, 2014, Qingdao, China, p. 238-244
Paper in proceedings
2013
A CPHD filter for tracking with spawning models - including a FISST based derivation
Lars Hammarstrand, Lennart Svensson, Malin Lundgren
Report
2013
A CPHD Filter for Tracking With Spawning Models
Malin Lundgren, Lennart Svensson, Lars Hammarstrand
IEEE Journal on Selected Topics in Signal Processing. Vol. 7 (3), p. 496-507
Journal article
2013
A Probabilistic Framework for Decision-Making in Collision Avoidance Systems
Lars Hammarstrand, Fredrik Sandblom, Mattias Brännström
IEEE Transactions on Intelligent Transportation Systems. Vol. 14 (2), p. 637-648
Journal article
2012
Multitarget Sensor Resolution Model and Joint Probabilistic Data Association
Daniel Svensson, Martin Ulmke, Lars Hammarstrand
IEEE Transactions on Aerospace and Electronic Systems. Vol. 48 (4), p. 3418-3434
Journal article
2012
Adaptive Radar Sensor Model for Tracking Structured Extended Objects
Lars Hammarstrand, Malin Lundgren, Lennart Svensson
IEEE Transactions on Aerospace and Electronic Systems. Vol. 48 (3), p. 1975 - 1995
Journal article
2012
A Study of MAP Estimation Techniques for Nonlinear Filtering
Lennart Svensson, Maryam Fatemi, Mark Morelande et al
15th international conference on information fusion, July 09-12 2012, Singapore, p. 1058 - 1065
Paper in proceedings
2012
A cardinality preserving multitarget multi-Bernoulli RFS tracker
Lars Hammarstrand, Lennart Svensson, V.C. Ravindra et al
15th International Conference on Information Fusion, FUSION 2012. Singapore, 7 - 12 September 2012, p. 832-839
Paper in proceedings
2011
A New Vehicle Motion Model for Improved Predictions and Situation Assessment
Lennart Svensson, Fredrik Sandblom, Lars Hammarstrand et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 12 (4), p. 1209 - 1219
Journal article
2010
A holistic approach to the integration of safety applications: the INSAFES subproject within the European framework programme 6 integrating project PReVENT
E. Bertolazzi, A. Saroldi, M. Bimpas et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 11 (3), p. 554-566
Journal article
2010
Tracking and radar sensor modelling for automotive safety systems
Lars Hammarstrand
Doctoral thesis
2010
Road intensity based mapping using radar measurements with a probability hypothesis density filter
F. Gustafsson, C. Lundquist, Lars Hammarstrand
IEEE Transactions on Signal Processing. Vol. 59 (4), p. 1397 - 1408
Journal article
2010
Multitarget sensor resolution model for arbitrary target numbers
Daniel Svensson, Lars Hammarstrand, Martin Ulmke
Signal and Data Processing of Small Targets, Proc. of SPIE. Vol. 7698
Conference contribution
2010
Random Set Based Road mapping using Radar Measurements
C. Lundquist, F. Gustafsson, Lars Hammarstrand
Paper in proceedings
2010
Multi-Target Tracking with Partially Unresolved Measurements
Lars Hammarstrand, Martin Ulmke, Daniel Svensson
40th Jahrestagung der Gesellschaft fur Informatik e.V. (GI): Service Science - Neue Perspektiven fur die Informatik 40th Annual Conf. of the German Informatics Society (GI): Service Science - New Perspectives in Computer Science INFORMATIK 2010; Leipzig; Germany; 27 September 2010 through 1 October 2010. Vol. 2, p. 913-918
Conference contribution
2010
Joint probabilistic data association filter for partially unresolved target groups
Lars Hammarstrand, Martin Ulmke, Daniel Svensson
Paper in proceedings
2009
SEFS–Results on Sensor Data Fusion System Development
Lars Hammarstrand, Fredrik Sandblom, M. Ahrholdt et al
Paper in proceedings
2008
A Design Architecture For Sensor Data Fusion Systems With Application To Automotive Safety
Lars Hammarstrand, Fredrik Sandblom
Paper in proceedings
2007
Tracking vehicles using radar detections
Lennart Svensson, Joakim Gunnarsson, Fredrik Sandblom et al
2007 IEEE Intelligent Vehicles Symposium, IV 2007; Istanbul; Turkey; 13 June 2007 through 15 June 2007, p. 296-302
Paper in proceedings
2007
HMI principles for lateral safe applications
E. Bekiaris, M. Miglietta, H. Lind et al
Universal Access in Human-Computer Interaction. Ambient Interaction, p. 330-338
Paper in proceedings
2007
INSAFES HCI principles for integrated ADAS applications
H. Lind, S. Jonasson, Lars Hammarstrand
Universal Access in Human-Computer Interaction. Ambient Interaction, p. 339-348
Paper in proceedings
2006
Joint driver intention classification and tracking of vehicles
Lars Hammarstrand, Fredrik Sandblom, Joakim Gunnarsson et al
Paper in proceedings