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   Articles with "map generation" as a keyword



OHM: GPU Based Occupancy Map Generation

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3196145

Abstract: Occupancy grid maps (OGMs) are fundamental to most systems for autonomous robotic navigation. However, CPU-based implementations struggle to keep up with data rates from modern 3D lidar sensors, and provide little capacity for modern extensions… read more here.

Keywords: based occupancy; occupancy; ohm gpu; occupancy map ... See more keywords

S2G2: Semi-Supervised Semantic Bird-Eye-View Grid-Map Generation Using a Monocular Camera for Autonomous Driving

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3208377

Abstract: Semantic bird-eye-view (BEV) grid map is a straightforward data representation for semantic environment perception. It can be conveniently integrated with downstream tasks, such as motion planning, trajectory prediction, etc. Most existing methods of semantic BEV… read more here.

Keywords: map; view; bev grid; grid map ... See more keywords

Clothoid-Based Reference Path Reconstruction for HD Map Generation

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recommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2023.3305198

Abstract: High-definition (HD) map is one of the key assets for autonomous driving, which supports various modules such as behavior prediction and motion planning of autonomous vehicles by providing accurate and rich geometric and semantic information.… read more here.

Keywords: reference path; reconstruction; path reconstruction; map generation ... See more keywords

Auto digitization of aerial images to map generation from UAV feed

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recommendations! Published in 2024 at "Indonesian Journal of Electrical Engineering and Computer Science"

DOI: 10.11591/ijeecs.v36.i2.pp1338-1346

Abstract: Nowadays the rapid growth of unmanned aerial vehicles (UAVs) bridges the space between worldly and airborne photogrammetry as well as allow flexible acquisition of great solution images. In the case of natural disasters such as… read more here.

Keywords: digitization aerial; generation uav; auto digitization; aerial images ... See more keywords

Deep-learning-based attenuation map generation in kidney single photon emission computed tomography

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recommendations! Published in 2024 at "EJNMMI Physics"

DOI: 10.1186/s40658-024-00686-4

Abstract: Accurate attenuation correction (AC) is vital in nuclear medicine, particularly for quantitative single-photon emission computed tomography/computed tomography (SPECT/CT) imaging. This study aimed to establish a CT-free quantification technology in kidney SPECT imaging using deep learning… read more here.

Keywords: deep learning; medicine; emission; spect ... See more keywords

GAN-Based Map Generation Technique of Aerial Image Using Residual Blocks and Canny Edge Detector

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app142310963

Abstract: As the significance of meticulous and precise map creation grows in modern Geographic Information Systems (GISs), urban planning, disaster response, and other domains, the necessity for sophisticated map generation technology has become increasingly evident. In… read more here.

Keywords: residual blocks; edge detector; edge; canny edge ... See more keywords