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Mateusz Komorkiewicz
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2020 – today
- 2024
- [i1]Daniel Dworak, Mateusz Komorkiewicz, Pawel Skruch, Jerzy Baranowski:
Cross-Domain Spatial Matching for Camera and Radar Sensor Data Fusion in Autonomous Vehicle Perception System. CoRR abs/2404.16548 (2024) - 2023
- [j8]Mateusz Komorkiewicz
, Alvin Chin
Intelligent Data Handling in Current and Next-Generation Automated Vehicle Development - A Review. IEEE Access 11: 32061-32072 (2023) - [c15]Filip Ciepiela, Mariusz Karol Nowak, Daniel Dworak
Automotive Radar Detection Level Modeling with Neural Networks. PCC (2) 2023: 254-265 - 2022
- [j7]Pawel Kowalczyk
Efficient Characterization Method for Big Automotive Datasets Used for Perception System Development and Verification. IEEE Access 10: 12629-12643 (2022) - [j6]Michal Jasiñski
Validation Framework for Generic Radar Sensor Models. IEEE Access 10: 18257-18267 (2022) - [j5]Krzysztof Blachut
Automotive Perception System Evaluation with Reference Data from a UAV's Camera Using ArUco Markers and DCNN. J. Signal Process. Syst. 94(7): 675-692 (2022) - 2021
- [c14]Krzysztof Blachut
Automotive perception system evaluation with reference data obtained by a UAV. DASIP 2021: 10-18
2010 – 2019
- 2019
- [c13]Daniel Dworak
Performance of LiDAR object detection deep learning architectures based on artificially generated point cloud data from CARLA simulator. MMAR 2019: 600-605 - 2018
- [j4]Tomasz Kryjak
Real-time hardware-software embedded vision system for ITS smart camera implemented in Zynq SoC. J. Real Time Image Process. 15(1): 123-159 (2018) - 2016
- [c12]Tomasz Kryjak
An Efficient Hardware Architecture for Block Based Image Processing Algorithms. ARC 2016: 54-65 - [c11]Mateusz Komorkiewicz, Krzysztof Turek, Pawel Skruch, Tomasz Kryjak
FPGA-based Hardware-in-the-Loop environment using video injection concept for camera-based systems in automotive applications. DASIP 2016: 183-190 - 2015
- [c10]Mateusz Komorkiewicz, Tomasz Kryjak
FPGA based system for real-time structure from motion computation. DASIP 2015: 1-7 - 2014
- [j3]Tomasz Kryjak
Real-time implementation of foreground object detection from a moving camera using the ViBe algorithm. Comput. Sci. Inf. Syst. 11(4): 1617-1637 (2014) - [j2]Tomasz Kryjak
Real-time background generation and foreground object segmentation for high-definition colour video stream in FPGA device. J. Real Time Image Process. 9(1): 61-77 (2014) - [j1]Mateusz Komorkiewicz, Tomasz Kryjak
Efficient Hardware Implementation of the Horn-Schunck Algorithm for High-Resolution Real-Time Dense Optical Flow Sensor. Sensors 14(2): 2860-2891 (2014) - [c9]Tomasz Kryjak
Hardware-software implementation of vehicle detection and counting using virtual detection lines. DASIP 2014: 1-8 - 2013
- [c8]Mateusz Komorkiewicz, Marek Gorgon:
Foreground object features extraction with GLCM texture descriptor in FPGA. DASIP 2013: 157-164 - [c7]Piotr Szwed, Mateusz Komorkiewicz:
Object Tracking and Video Event Recognition with Fuzzy Semantic Petri Nets. FedCSIS 2013: 167-174 - [c6]Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon:
Hardware implementation of the PBAS foreground detection method in FPGA. MIXDES 2013: 479-484 - 2012
- [c5]Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon:
FPGA implementation of camera tamper detection in real-time. DASIP 2012: 1-8 - [c4]Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon:
FPGA implementation of real-time head-shoulder detection using local binary patterns, SVM and foreground object detection. DASIP 2012: 1-8 - [c3]Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon:
Is FPGA a suitable platform for advanced video surveillance systems? DASIP 2012: 1-2 - [c2]Mateusz Komorkiewicz, Maciej Kluczewski, Marek Gorgon:
Floating point HOG implementation for real-time multiple object detection. FPL 2012: 711-714 - 2011
- [c1]Tomasz Kryjak
Real-time moving object detection for video surveillance system in FPGA. DASIP 2011: 209-216
Coauthor Index
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