#1
Top Urban Planning & Smart Cities papers
Find all the Top AIUrban Planning & Smart Cities papers. Links to pdf, code repos and demos are provided.
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#2
over 4 years ago
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
ICCV • Shipra Jain, Danda Paudel Pani, Martin Danelljan + 1 more
The state-of-the-art object detection and image classification methods can perform impressively on more than 9k and 10k classes, respectively. In cont...
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#3
over 8 years ago
Efficient Volumetric Fusion of Airborne and Street-Side Data for Urban Reconstruction
Hayko Riemenschneider, Luc van Gool, András Bódis-Szomorú
Airborne acquisition and on-road mobile mapping provide complementary 3D
information of an urban landscape: the former acquires roof structures, groun...
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#4
over 7 years ago
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
CVPR • Yuhua Chen, Wen Li, Luc van Gool
Presents the Reality Oriented Adaptation Network (ROAD-Net), a method designed to improve semantic segmentation performance on urban scenes by address...
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#5
over 3 years ago
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
Martin Ralf Oswald, Davide Menini, Suryansh Kumar + 3 more
Presents a real-time online vision framework to jointly recover an indoor scene's 3D structure and semantic label. Given noisy depth maps, a camera tr...
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#6
over 3 years ago
Rapid Assessments of Light-Duty Gasoline Vehicle Emissions Using On-Road Remote Sensing and Machine Learning
Yan Xia, Linhui Jiang, Lu Wang + 14 more
In-time and accurate assessments of on-road vehicle emissions play a central role in urban air quality and health policymaking. However, official insi...
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#7
9 months ago
Multipath Identification and Mitigation with FDA-MIMO Radar
Yizhen Jia, Jie Cheng, Wen-Qin Wang + 1 more
In smart city development, the automatic detection of structures and vehicles within urban or suburban areas via array radar (airborne or vehicle plat...
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#8
over 3 years ago
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images
Bernhard Schoelkopf, Lukas Kondmann, Aysim Toker + 3 more
Detecting changes on the ground in multitemporal Earth observation data is one of the key problems in remote sensing. In this paper, we introduce Sibl...
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over 2 years ago
A General Purpose Neural Architecture for Geospatial Systems
Yasmine Benabed, Bernhard Schoelkopf, Nasim Rahaman + 6 more
Geospatial Information Systems are used by researchers and Humanitarian Assistance and Disaster Response (HADR) practitioners to support a wide variet...
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#10
about 5 years ago
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
Gregory Kahn, Pieter Abbeel, Sergey Levine
Presents BADGR, an innovative self-supervised learning-based navigation system for mobile robots that extends beyond traditional geometric approaches ...
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#11
over 4 years ago
Conservative Safety Critics for Exploration
ICLR • Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart + 3 more
Addresses the challenge of safe exploration in reinforcement learning (RL) by developing a method that conservatively estimates safety during the trai...
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#12
over 4 years ago
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund + 20 more
Introduces WILDS, a benchmark designed to assess the impact of distribution shifts on machine learning models, where the training and testing data com...
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