NYC3DCars: A Dataset of 3D Vehicles in Geographic Context (original) (raw)

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Joachim Denzler

arXiv (Cornell University), 2020

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3D Detection of Vehicles from 2D Images in Traffic Surveillance

Matthijs Zwemer

Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022

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Urban object classification with 3D Deep-Learning

Mustapha Derras

2019 Joint Urban Remote Sensing Event (JURSE), 2019

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CAR - Cityscapes Attributes Recognition A Multi-category Attributes Dataset for Autonomous Vehicles

Kareem Metwaly

ArXiv, 2021

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UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection

juan Pablo Carrillo

2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021

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DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

Haibao Yu

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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Building a semantic part-based object class detector from synthetic 3D models

Johannes Schels

2011 IEEE International Conference on Multimedia and Expo, 2011

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A New Dataset and Performance Evaluation of a Region-Based CNN for Urban Object Detection

Jose Garcia-rodriguez

Electronics, 2018

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Dataset: Roundabout Aerial Images for Vehicle Detection

Enrique Puertas

Data

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Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset

Arnav Bagad

arXiv (Cornell University), 2023

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Lifting Object Detection Datasets into 3D

SARA DELGADO VICENTE

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015

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Integration of visual and depth information for vehicle detection

Christian Laugier

2011

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PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement

Jesus Zarzar

ArXiv, 2019

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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Xibin Song

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019

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On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

Jorge García Gutiérrez

Remote Sensing

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Indoor Objects and Outdoor Urban Scenes Recognition by 3D Visual Primitives

Junsheng Fu

Lecture Notes in Computer Science, 2015

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A*3D Dataset: Towards Autonomous Driving in Challenging Environments

Armin Mustafa

2020 IEEE International Conference on Robotics and Automation (ICRA)

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Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time

Joachim Denzler

2020 IEEE Intelligent Vehicles Symposium (IV), 2020

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Assessing the Computational Effort for Structural 3D Vehicle Recognition

E. Michaelsen

Lecture Notes in Computer Science, 2000

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The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes

Srikanth Malla

2019 International Conference on Robotics and Automation (ICRA)

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Vehicle Detection by Independent Parts for Urban Driver Assistance

Mohan Trivedi

IEEE Transactions on Intelligent Transportation Systems, 2000

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RefineNet: Refining Object Detectors for Autonomous Driving

Mohan Trivedi

IEEE Transactions on Intelligent Vehicles

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One Million Scenes for Autonomous Driving: ONCE Dataset

Zhenguo Li

arXiv (Cornell University), 2021

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Generic object recognition in urban image databases

Petia Radeva

Frontiers in Artificial Intelligence and Applications, 2009

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TMBuD: A Dataset for Urban Scene Building Detection

Mocofan Muguras

Communications in Computer and Information Science

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DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries

Vitor Guizilini

ArXiv, 2021

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Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

Haibao Yu

arXiv (Cornell University), 2023

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Object Recognition in 3D Point Cloud of Urban Street Scene

lixin fan

Lecture Notes in Computer Science, 2015

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Fine-Grained Vehicle Classification in Urban Traffic Scenes Using Deep Learning

Aneeba Najeeb

Lecture Notes in Electrical Engineering, 2022

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Describing Paris: Automated 3D scene analysis via distinctive low-level geometric features

Boris Jutzi, Martin Weinmann

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