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Himanshu Gupta

Position: Doctoral Student, Marie Curie School/office: School of Science and Technology

Email: aGltYW5zaHUuZ3VwdGE7b3J1LnNl

Phone: No number available

Room: T1217

Research subject

Research environments

Research groups

Raj, P. , Gupta, H. , Anantha, P. & Barman, I. (2025). Cell-TIMP: Cellular Trajectory Inference Based on Morphological Parameters. Nano Letters. [BibTeX]
Forte, P. , Gupta, H. , Andreasson, H. , Köckemann, U. & Lilienthal, A. J. (2025). On Robust Context-Aware Navigation for Autonomous Ground Vehicles. IEEE Robotics and Automation Letters, 10 (2), 1449-1456. [BibTeX]
Gupta, H. , Kotlyar, O. , Andreasson, H. & Lilienthal, A. J. (2024). Video WeAther RecoGnition (VARG): An Intensity-Labeled Video Weather Recognition Dataset. Journal of imaging, 10 (11). [BibTeX]
Gupta, H. , Lilienthal, A. , Andreasson, H. & Kurtser, P. (2023). NDT-6D for color registration in agri-robotic applications. Journal of Field Robotics, 40 (6), 1603-1619. [BibTeX]
Gupta, H. , Andreasson, H. , Lilienthal, A. J. & Kurtser, P. (2023). Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors. Sensors, 23 (10). [BibTeX]

Gupta, H. , Kotlyar, O. , Andreasson, H. & Lilienthal, A. J. (2024). Robust Object Detection in Challenging Weather Conditions. In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Conference Proceedings. Paper presented at 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024), Waikoloa, HI, USA, January 3-8, 2024. (pp. 7508-7517). IEEE. [BibTeX]
Gupta, H. , Andreasson, H. , Magnusson, M. , Julier, S. & Lilienthal, A. J. (2023). Revisiting Distribution-Based Registration Methods. In: Marques, L.; Markovic, I., 2023 European Conference on Mobile Robots (ECMR). Paper presented at 11th European Conference on Mobile Robots (ECMR 2023), Coimbra, Portugal, September 4-7, 2023. (pp. 43-48). IEEE. [BibTeX]
Machado, T. , Fassbender, D. , Taheri, A. , Eriksson, D. , Gupta, H. , Molaei, A. , Forte, P. , Rai, P. & et al. (2021). Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge. In: Proceedings of the IEEE ICTE Leading Digital Transformation in Business and Society Conference. Paper presented at 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE 2021), Kaunas, Lithuania, August 24-27, 2021. IEEE. [BibTeX]