Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Sommer, Lars"'
Autor:
Kiefer, Benjamin, Kristan, Matej, Perš, Janez, Žust, Lojze, Poiesi, Fabio, Andrade, Fabio Augusto de Alcantara, Bernardino, Alexandre, Dawkins, Matthew, Raitoharju, Jenni, Quan, Yitong, Atmaca, Adem, Höfer, Timon, Zhang, Qiming, Xu, Yufei, Zhang, Jing, Tao, Dacheng, Sommer, Lars, Spraul, Raphael, Zhao, Hangyue, Zhang, Hongpu, Zhao, Yanyun, Augustin, Jan Lukas, Jeon, Eui-ik, Lee, Impyeong, Zedda, Luca, Loddo, Andrea, Di Ruberto, Cecilia, Verma, Sagar, Gupta, Siddharth, Muralidhara, Shishir, Hegde, Niharika, Xing, Daitao, Evangeliou, Nikolaos, Tzes, Anthony, Bartl, Vojtěch, Špaňhel, Jakub, Herout, Adam, Bhowmik, Neelanjan, Breckon, Toby P., Kundargi, Shivanand, Anvekar, Tejas, Desai, Chaitra, Tabib, Ramesh Ashok, Mudengudi, Uma, Vats, Arpita, Song, Yang, Liu, Delong, Li, Yonglin, Li, Shuman, Tan, Chenhao, Lan, Long, Somers, Vladimir, De Vleeschouwer, Christophe, Alahi, Alexandre, Huang, Hsiang-Wei, Yang, Cheng-Yen, Hwang, Jenq-Neng, Kim, Pyong-Kun, Kim, Kwangju, Lee, Kyoungoh, Jiang, Shuai, Li, Haiwen, Ziqiang, Zheng, Vu, Tuan-Anh, Nguyen-Truong, Hai, Yeung, Sai-Kit, Jia, Zhuang, Yang, Sophia, Hsu, Chih-Chung, Hou, Xiu-Yu, Jhang, Yu-An, Yang, Simon, Yang, Mau-Tsuen
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritim
Externí odkaz:
http://arxiv.org/abs/2211.13508
Understanding the complex urban infrastructure with centimeter-level accuracy is essential for many applications from autonomous driving to mapping, infrastructure monitoring, and urban management. Aerial images provide valuable information over a la
Externí odkaz:
http://arxiv.org/abs/2007.06102
Fine-grained vehicle classification is the task of classifying make, model, and year of a vehicle. This is a very challenging task, because vehicles of different types but similar color and viewpoint can often look much more similar than vehicles of
Externí odkaz:
http://arxiv.org/abs/1806.02987
Autor:
Ganguli, Anurag, Saha, Bhaskar, Raghavan, Ajay, Kiesel, Peter, Arakaki, Kyle, Schuh, Andreas, Schwartz, Julian, Hegyi, Alex, Sommer, Lars Wilko, Lochbaum, Alexander, Sahu, Saroj, Alamgir, Mohamed
Publikováno v:
In Journal of Power Sources 15 February 2017 341:474-482
Autor:
Raghavan, Ajay, Kiesel, Peter, Sommer, Lars Wilko, Schwartz, Julian, Lochbaum, Alexander, Hegyi, Alex, Schuh, Andreas, Arakaki, Kyle, Saha, Bhaskar, Ganguli, Anurag, Kim, Kyung Ho, Kim, ChaeAh, Hah, Hoe Jin, Kim, SeokKoo, Hwang, Gyu-Ok, Chung, Geun-Chang, Choi, Bokkyu, Alamgir, Mohamed
Publikováno v:
In Journal of Power Sources 15 February 2017 341:466-473
Autor:
Sommer, Lars Wilko, Kiesel, Peter, Ganguli, Anurag, Lochbaum, Alexander, Saha, Bhaskar, Schwartz, Julian, Bae, Chang-Jun, Alamgir, Mohamed, Raghavan, Ajay
Publikováno v:
In Journal of Power Sources 20 November 2015 296:46-52
Autor:
Wilko Sommer, Lars
This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/53149
Autor:
Sommer, Lars Wilko
This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::355ab743c3969cc301bf2d5353127709
Autor:
Sommer, Lars, Bestle, Dieter
Publikováno v:
In Aerospace Science and Technology 2011 15(4):334-342
Akademický článek
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