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Dahl, Mattias
Publications (10 of 81) Show all publications
Dahl, M. & Javadi, M. S. (2019). Analytical modelling for video-based vehicle speed measurement framework. Optik (Stuttgart)
Open this publication in new window or tab >>Analytical modelling for video-based vehicle speed measurement framework
2019 (English)In: Optik (Stuttgart), ISSN 0030-4026, E-ISSN 1618-1336Article in journal (Refereed) Submitted
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17160 (URN)
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2018-10-31Bibliographically approved
Javadi, M. S., Dahl, M., Pettersson, M. & Kulesza, W. (2019). Design of a video-based vehicle speed measurement system: an uncertainty approach. In: 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 2018, pp. 44-49.: . Paper presented at Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018; Kitakyushu; Japan; 25-28 June 2018. IEEE, Article ID 8640964.
Open this publication in new window or tab >>Design of a video-based vehicle speed measurement system: an uncertainty approach
2019 (English)In: 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Kitakyushu, Japan, 2018, pp. 44-49., IEEE, 2019, article id 8640964Conference paper, Published paper (Refereed)
Abstract [en]

Speed measurement is one of the key components of intelligent transportation systems. It provides suitable information for traffic management and law enforcement. This paper presents a versatile and analytical model for a video-based speed measurement in form of the probability density function (PDF). In the proposed model, the main factors contributing to the uncertainties of the measurement are considered. Furthermore, a guideline is introduced in order to design a video-based speed measurement system based on the traffic and other requirements. As a proof of concept, the model has been simulated and tested for various speeds. An evaluation validates the strength of the model for accurate speed measurement under realistic circumstances.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
Intelligent transportation systems, Machine vision, Motion analysis, Pattern recognition, Speed measurement
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17163 (URN)10.1109/ICIEV.2018.8640964 (DOI)000462610300008 ()9781538651612 (ISBN)
Conference
Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018; Kitakyushu; Japan; 25-28 June 2018
Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2019-06-28Bibliographically approved
Javadi, M. S., Dahl, M. & Pettersson, M. (2019). Vehicle speed measurement model for video-based systems. Computers & electrical engineering, 76, 238-248
Open this publication in new window or tab >>Vehicle speed measurement model for video-based systems
2019 (English)In: Computers & electrical engineering, ISSN 0045-7906, E-ISSN 1879-0755, Vol. 76, p. 238-248Article in journal (Refereed) Published
Abstract [en]

Advanced analysis of road traffic data is an essential component of today's intelligent transportation systems. This paper presents a video-based vehicle speed measurement system based on a proposed mathematical model using a movement pattern vector as an input variable. The system uses the intrusion line technique to measure the movement pattern vector with low computational complexity. Further, the mathematical model introduced to generate the pdf (probability density function) of a vehicle's speed that improves the speed estimate. As a result, the presented model provides a reliable framework with which to optically measure the speeds of passing vehicles with high accuracy. As a proof of concept, the proposed method was tested on a busy highway under realistic circumstances. The results were validated by a GPS (Global Positioning System)-equipped car and the traffic regulations at the measurement site. The experimental results are promising, with an average error of 1.77 % in challenging scenarios.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Intelligent transportation systems; Machine vision; Motion analysis; Pattern recognition; Speed measurement system
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17161 (URN)10.1016/j.compeleceng.2019.04.001 (DOI)000470954900019 ()
Note

open access

Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2019-06-27Bibliographically approved
Rameez, M., Dahl, M. & Pettersson, M. (2018). Adaptive digital beamforming for interference suppression in automotive FMCW radars. In: 2018 IEEE Radar Conference, (RadarConf 2018): . Paper presented at 2018 IEEE Radar Conference,Oklahoma City (pp. 252-256). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Adaptive digital beamforming for interference suppression in automotive FMCW radars
2018 (English)In: 2018 IEEE Radar Conference, (RadarConf 2018), Institute of Electrical and Electronics Engineers Inc. , 2018, p. 252-256Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses the problem of mutual interference between automotive radars. This problem is getting more attention with an increase in the number of radar systems used in traffic. An adaptive digital beamforming technique is presented here which suppresses the interference without the exact knowledge of the interfering signal's Direction of Arrival (DoA). The proposed technique is robust and does not rely on any calibration for the interference cancellation. The adaptive interference suppression method is evaluated using a simulated scenario. Up to about 20-23 dB improvement in the target Signal to Interference and Noise Ratio (SINR) is measured in the simulation and a better detection performance is achieved using the proposed interference suppression technique. © 2018 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2018
Series
IEEE Radar Conference
Keywords
Beamforming, Frequency modulation, Radar systems, Signal to noise ratio, Adaptive digital beamforming, Adaptive interference suppression, Automotive radar, Detection performance, Interference cancellation, Interfering signals, Mutual interference, Target signals, Radar interference
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-16910 (URN)10.1109/RADAR.2018.8378566 (DOI)000442172700046 ()2-s2.0-85049977586 (Scopus ID)978-1-5386-4167-5 (ISBN)
Conference
2018 IEEE Radar Conference,Oklahoma City
Available from: 2018-08-20 Created: 2018-08-20 Last updated: 2018-09-20Bibliographically approved
Javadi, M. S., Rameez, M., Dahl, M. & Pettersson, M. (2018). Vehicle classification based on multiple fuzzy c-means clustering using dimensions and speed features. In: Procedia Computer Science: . Paper presented at 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), Belgrade (pp. 1344-1350). Elsevier, 126
Open this publication in new window or tab >>Vehicle classification based on multiple fuzzy c-means clustering using dimensions and speed features
2018 (English)In: Procedia Computer Science, Elsevier, 2018, Vol. 126, p. 7p. 1344-1350Conference paper, Published paper (Refereed)
Abstract [en]

Vehicle classification has a significant use in traffic surveillance and management. There are many methods proposed to accomplish this task using variety of sensorS. In this paper, a method based on fuzzy c-means (FCM) clustering is introduced that uses dimensions and speed features of each vehicle. This method exploits the distinction in dimensions features and traffic regulations for each class of vehicles by using multiple FCM clusterings and initializing the partition matrices of the respective classifierS. The experimental results demonstrate that the proposed approach is successful in clustering vehicles from different classes with similar appearanceS. In addition, it is fast and efficient for big data analysiS.

Place, publisher, year, edition, pages
Elsevier, 2018. p. 7
Series
Procedia Computer Science, ISSN 1877-0509
Keywords
Vehicle classification, Fuzzy c-means clustering, Intelligent transportation systems, Pattern recognition
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-17165 (URN)10.1016/j.procS.2018.08.085 (DOI)
Conference
22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2018), Belgrade
Note

open access

Available from: 2018-10-23 Created: 2018-10-23 Last updated: 2018-11-29Bibliographically approved
Vu, V. T., Sjögren, T., Pettersson, M. & Dahl, M. (2017). Measurement of traffic flows with SAR: Field test on the swedish road network. In: International Geoscience and Remote Sensing Symposium (IGARSS): . Paper presented at 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS,Forth Worth (pp. 3321-3324). Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Measurement of traffic flows with SAR: Field test on the swedish road network
2017 (English)In: International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc. , 2017, p. 3321-3324Conference paper, Published paper (Refereed)
Abstract [en]

This paper reports the measurement campaign Blekingetraffic that was performed by Blekinge Institute of Technology with collaboration with the partners. The measurements are part of a case study to evaluate the feasibility of spaceborne SAR for measuring traffic flow change before and after toll charge introduced in Sweden. The radar measurements were conducted around Pukavik, western of Karlshamn, Sweden in the end of 2015 and in the beginning of 2016. In this paper, the results of one of the controlled measurements performed in the first week of February 2016 is presented. In the ground scene, some trucks tracked with GPS were deployed in European route E22 and local roads. The trucks have either cabinets or food tankers resulting in different radar cross sections. The data acquisition is with TanDEM-X using two satellites giving up to 6 data channels. Since the measurements were performed at 5:00 pm there were unknown traffic i.e. trucks and cars that were not controlled. Therefore, the traffic on the roads was recorded by cameras next to the road and on a drone. The initial analysis of the measured data shows the possibilities to apply available processing techniques such as ground moving target indication and change detection to obtain the knowledge of traffic flow change. © 2017 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2017
Series
IEEE International Symposium on Geoscience and Remote Sensing IGARSS, ISSN 000426954603103
Keywords
change detection, SAR, STAP, TanDEM-X, TerraSAR-X, traffic monitoring
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:bth-15924 (URN)10.1109/IGARSS.2017.8127708 (DOI)000426954603103 ()2-s2.0-85041860005 (Scopus ID)9781509049516 (ISBN)
Conference
37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS,Forth Worth
Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2018-04-12Bibliographically approved
Javadi, M. S., Dahl, M. & Pettersson, M. (2016). Change detection in aerial images using a Kendall's TAU distance pattern correlation. In: PROCEEDINGS OF THE 2016 6TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP): . Paper presented at 2016 6th European Workshop on Visual Information Processing (EUVIP), Marseille. IEEE
Open this publication in new window or tab >>Change detection in aerial images using a Kendall's TAU distance pattern correlation
2016 (English)In: PROCEEDINGS OF THE 2016 6TH EUROPEAN WORKSHOP ON VISUAL INFORMATION PROCESSING (EUVIP), IEEE, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Change detection in aerial images is the core of many remote sensing applications to analyze the dynamics of a wide area on the ground. In this paper, a remote sensing method is proposed based on viewpoint transformation and a modified Kendall rank correlation measure to detect changes in oblique aerial images. First, the different viewpoints of the aerial images are compromised and then, a local pattern descriptor based on Kendall rank correlation coefficient is introduced. A new distance measure referred to as Kendall's Tau-d (Tau distance) coefficient is presented to determine the changed regions. The developed system is applied on oblique aerial images with very low aspect angles that obtained using an unmanned aerial vehicle in two different days with drastic change in illumination and weather conditions. The experimental results indicate the robustness of the proposed method to variant illumination, shadows and multiple viewpoints for change detection in aerial images.

Place, publisher, year, edition, pages
IEEE, 2016
Keywords
Aerial images, change detection, Kendall rank correlation, optical remote sensing
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-13878 (URN)10.1109/EUVIP.2016.7764604 (DOI)000391630800023 ()978-1-5090-2781-1 (ISBN)
Conference
2016 6th European Workshop on Visual Information Processing (EUVIP), Marseille
Available from: 2017-02-03 Created: 2017-02-03 Last updated: 2018-10-24Bibliographically approved
Holmgren, J., Dahl, M., Davidsson, P. & Person, J. A. (2013). Agent-based simulation of freight transport between geographical zones. In: : . Paper presented at 4th International Conference on Ambient Systems, Networks and Technologies (ANT) / 3rd International Conference on Sustainable Energy Information Technology (SEIT), Halifax, Nova Scotia (pp. 829-834). Elsevier, 19
Open this publication in new window or tab >>Agent-based simulation of freight transport between geographical zones
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present TAPAS-Z, which is an agent-based freight transport analysis model for simulation of decision-making and transport activities. TAPAS-Z is a further development of a simulation model called TAPAS, and it has improved support for simulation of transport in large geographical regions. It is based on the principles that shipments are simulated for chosen supplier-consumer relations in a geographic region, and that the geographic locations of suppliers and consumers are randomly varied for each shipment. In TAPAS-Z, one supplier represents all real-world suppliers in a geographic zone, and one consumer represents all real-world consumers in a zone. In that way, TAPAS-Z is able to capture some of the diversity in freight transport that is caused by the varying geographic locations of senders and receivers, and which is important when assessing the impact of transport policy and infrastructural measures.

Place, publisher, year, edition, pages
Elsevier, 2013
Series
Procedia Computer Science, ISSN 1877-0509
Keywords
Multi-agent-based simulation, MABS, Freight transport modeling, Zone-based freight simulation
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-6843 (URN)10.1016/j.procs.2013.06.110 (DOI)000361480500100 ()
Conference
4th International Conference on Ambient Systems, Networks and Technologies (ANT) / 3rd International Conference on Sustainable Energy Information Technology (SEIT), Halifax, Nova Scotia
Available from: 2013-12-02 Created: 2013-11-28 Last updated: 2018-01-11Bibliographically approved
Mbiydzenyuy, G., Dahl, M. & Holmgren, J. (2013). Road travel time prediction: A micro-level sampling approach. In: : . Paper presented at 16th International Conference on IEEE Intelligent Transport Systems. The Hague: IEEE Intelligent Transport Systems Society
Open this publication in new window or tab >>Road travel time prediction: A micro-level sampling approach
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The ability to generate accurate travel time predictions for road freight transport is important when, for example, estimating the arrival times for heavy goods vehicles (HGVs) in order to plan terminal activities. We present a micro-level sampling method for road travel time prediction. The method makes use of historical GPS-data in order to determine the movement of a vehicle from an origin to a destination along a specific route. The method generates a travel time distribution, which can be used to obtain the expected travel time and probabilities for deviations. The method has been illustrated and evaluated in an experiment where the effective travel time was predicted for transport between two terminals. The experiment made use of GPS data that was recorded for two HGVs during a period of two months. An important feature of the method is that it does not need road network information, such as speed limits and number of lanes.

Place, publisher, year, edition, pages
The Hague: IEEE Intelligent Transport Systems Society, 2013
Keywords
Simulation, Statistics, GPS, travel time, freight transport
National Category
Computer Sciences
Identifiers
urn:nbn:se:bth-6362 (URN)000346481000258 ()oai:bth.se:forskinfo0434A7C290EC55D1C1257C350040DE06 (Local ID)oai:bth.se:forskinfo0434A7C290EC55D1C1257C350040DE06 (Archive number)oai:bth.se:forskinfo0434A7C290EC55D1C1257C350040DE06 (OAI)
Conference
16th International Conference on IEEE Intelligent Transport Systems
Note

The online version on IEEE Xplore is yet to be avialble.

Available from: 2015-05-25 Created: 2013-12-02 Last updated: 2018-01-11Bibliographically approved
Westerlund, N., Grbic, N. & Dahl, M. (2006). Subband Adaptive Feedback Control in Hearing Aids with Increased User Comfort.
Open this publication in new window or tab >>Subband Adaptive Feedback Control in Hearing Aids with Increased User Comfort
2006 (English)Report (Other academic)
Abstract [en]

This report describes important physiological and anatomical aspects of human hearing, including instruments for hearing improvements, i.e. hearing aids. One common problem with hearing aids is acoustic feedback (howling). A new subband Adaptive Feedback Control (AFC) system for hearing aids is proposed. This system detects howling by calculating distances between zero crossings in the subband input signal. A stable subband zero crossing distance measure indicates that howling is present in a particular subband. This triggers an adaptation to estimate and attenuate the feedback channel. The adaptation is driven by a probe noise sequence constrained in both time and frequency. This constraint implies increased signal quality and that user discomfort due to emitted probe noise is reduced. Also, an effective and reliable adaptation is achieved. The method has proven to operate well in computer simulations, with speech as well as music as signal input. Initial simulations indicate that an increased hearing aid gain of at least 15 dB is possible.

Series
Blekinge Tekniska Högskola Forskningsrapport, ISSN 1103-1581 ; 1
Keywords
Speech Enhancement, Adaptive Feedback Control, Hearing Aids, Zero Crossing
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-00314 (URN)oai:bth.se:forskinfo45B1340BC7B0352EC12571240048B810 (Local ID)oai:bth.se:forskinfo45B1340BC7B0352EC12571240048B810 (Archive number)oai:bth.se:forskinfo45B1340BC7B0352EC12571240048B810 (OAI)
Available from: 2012-09-18 Created: 2006-03-01 Last updated: 2015-06-30Bibliographically approved
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