Vita
Qazi Hamza Jan hat einen Bachelor-Abschluss in Elektrotechnik von der Bahria University in Islamabad (BUI). Sein letztes Projekt war "Pure Sinus Wave Inverter mit Motor Gene Pair". Später erwarb er von 2013 bis 2015 seinen Master in Elektrotechnik an der Lahore University of Management Sciences (LUMS). Thema seiner Diplomarbeit war "Visual Inertial Navigation for Odometry". Er kam im April 2018 als Doktorand an der Universität Kaiserslautern zu RRLab. Seine Forschung konzentriert sich auf autonome Navigation mit Sensorfusion.
Veröffentlichungen
2024
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- Detailed Analysis of Pedestrian Activity Recognition in Pedestrian Zones Using 3D Skeleton Joints Using LSTM.
SN Computer Science, Vol. 5, Nr. 2, S. 242. (2024)
2023
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- Autonomous Shuttle for Pedestrian Zones.
International Symposium on Measurements and Control in Robotics, S. 169 - 179. (2023) - Deep Driving with Additional Guided Inputs for Crossings in Pedestrian Zones.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, S. 402 - 409. (2023) - Effective Visual Content of eHMI for Autonomous Vehicles in Pedestrian Zones.
Advances in Service and Industrial Robotics, S. 203 - 210. (2023) - Thorough Analysis and Reasoning of Environmental Factors on End-to-End Driving in Pedestrian Zones.
Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics, Vol. 1, S. 495 - 502. (2023)
2022
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- Integration of human skeleton posture models into REACTiON for realizing dynamic risk management.
7th International Commercial Vehicle Technology Symposium Kaiserslautern – CVT 2022, (2022) - Integration of human skeleton posture models into REACTiON for realizing dynamic risk management.
International Commercial Vehicle Technology Symposium, S. 109 - 120. (2022) - Pedestrian Activity Recognition from 3D Skeleton Data using Long Short Term Memory Units.
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS, Vol. 1, Nr. 10.5220/0011075700003191, S. 368 - 375. (2022)
2021
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- Drive on Pedestrian Walk. TUK Campus Dataset.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), S. 3822 - 3828. (2021) - Safety-configuration of Autonomous Bus in Pedestrian Zone.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, Vol. 1, Nr. 978-989-758-513-5, S. 698 - 705. (2021) - Simulated Pedestrian Modelling for Reliable Testing of Autonomous Vehicle in Pedestrian Zones.
Smart Cities, Green Technologies, and Intelligent Transport Systems, Vol. 1475, S. 290 - 307. (2021)
2020
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- Safe and efficient navigation of an autonomous shuttle in a pedestrian zone.
Advances in Intelligent systems and Computing (AISC), Vol. 980, S. 267 - 274. (2020) - Self-aware Pedestrians Modeling for Testing Autonomous Vehicles in Simulation.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, Vol. 1, Nr. 10.5220/0009377505770584, S. 577 - 584. (2020)
2019