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In recent years, there is an influx of deep learning models for 3D vehicle object detection.
“GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving” arXiv: 1903.10955
Buyu Li et al · 1903
Earlier work this paper cites.
“Practical parameterization of rotations using the exponential map”
F Grassia · 1998
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“Off-road Path Following using Region Classification and Geometric Projection Constraints”
Y. Alon, A. Ferencz and A. Shashua · 2006
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“An improved box-counting method for image fractal dimension estimation”
Jian Li, Qian Du and Caixin Sun · 2009
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“Are we ready for autonomous driving? The KITTI vision benchmark suite” ISSN: 1063-6919
Andreas Geiger, Philip Lenz and Raquel Urtasun · 2012
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“3D Traffic Scene Understanding From Movable Platforms”
Andreas Geiger et al · 2013
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“Combining Priors, Appearance, and Context for Road Detection”
Jose. Álvarez, Antonio. López, Theo Gevers and Felipe Lumbreras · 2013
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“Adam: A method for stochastic optimization”
Diederik Kingma and Jimmy Ba · 2014
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“Intrinsic dimension estimation: Relevant techniques and a benchmark framework”
Paola Campadelli, Elena Casiraghi, Claudio Ceruti and Alessandro Rozza · 2015
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“3D Object Proposals for Accurate Object Class Detection”
Xiaozhi Chen et al · 2015
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“Batch normalization: Accelerating deep network training by reducing internal covariate shift”
Sergey Ioffe and Christian Szegedy · 2015
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“Intrinsic dimension estimation: Advances and open problems”
Francesco Camastra and Antonino Staiano · 2016
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“Monocular 3D Object Detection for Autonomous Driving”
Xiaozhi Chen et al · 2016
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“3D Bounding Box Estimation Using Deep Learning and Geometry” arXiv: 1612.00496
Arsalan Mousavian, Dragomir Anguelov, John Flynn and Jana Kosecka · 2017
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Kota Hara, Raviteja Vemulapalli and Rama Chellappa · 2017
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“Xception: Deep Learning with Depthwise Separable Convolutions”, 2017
François Chollet · 2017
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“Designing deep convolutional neural networks for continuous object orientation estimation”
Kota Hara, Raviteja Vemulapalli and Rama Chellappa · 2017
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“Attention is all you need”
Ashish Vaswani et al · 2017
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“Learning RGB-D Salient Object Detection Using Background Enclosure, Depth Contrast, and Top-Down Features”
Riku Shigematsu, David Feng, Shaodi You and Nick Barnes · 2017
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“Pixor: Real-time 3d object detection from point clouds”
Bin Yang, Wenjie Luo and Raquel Urtasun · 2018
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“Orthographic feature transform for monocular 3d object detection”
Thomas Roddick, Alex Kendall and Roberto Cipolla · 2018
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“Hdnet: Exploiting hd maps for 3d object detection”
Bin Yang, Ming Liang and Raquel Urtasun · 2018
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“Frustum pointnets for 3d object detection from rgb-d data”
Charles Qi et al · 2018
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“Benchmark analysis of representative deep neural network architectures”
Simone Bianco, Remi Cadene, Luigi Celona and Paolo Napoletano · 2018
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“End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging”
Vincent Sitzmann et al · 2018
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“Mvx-net: Multimodal voxelnet for 3d object detection”
Vishwanath Sindagi, Yin Zhou and Oncel Tuzel · 2019
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“Monocular Pedestrian Orientation Estimation Based on Deep 2D-3D Feedforward” arXiv: 1909.10970
Chenchen Zhao, Yeqiang Qian and Ming Yang · 2019
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“Disentangling Monocular 3D Object Detection”
Andrea Simonelli et al · 2019
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“Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving”
Xinzhu Ma et al · 2019
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“Multi-Task Multi-Sensor Fusion for 3D Object Detection”
Ming Liang et al · 2019
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“Deep Fitting Degree Scoring Network for Monocular 3D Object Detection”
Lijie Liu et al · 2019
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“Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving”
Yurong You et al · 2019
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“Pointpillars: Fast encoders for object detection from point clouds”
Alex Lang et al · 2019
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Eskil J“”orgensen, Christopher Zach and Fredrik Kahl · 2019
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“Shift r-cnn: Deep monocular 3d object detection with closed-form geometric constraints”
Andretti Naiden et al · 2019
Cited alongside, same era.
“Spherical regression: Learning viewpoints, surface normals and 3d rotations on n-spheres”
Shuai Liao, Efstratios Gavves and Cees Snoek · 2019
Cited alongside, same era.
“Pointrcnn: 3d object proposal generation and detection from point cloud”
Shaoshuai Shi, Xiaogang Wang and Hongsheng Li · 2019
Cited alongside, same era.
“Monocular 3d object detection via geometric reasoning on keypoints”
Ivan Barabanau, Alexey Artemov, Evgeny Burnaev and Vyacheslav Murashkin · 2019
Cited alongside, same era.
Xingyi Zhou, Dequan Wang and Philipp Kr“”ahenb“”uhl · 2019
Cited alongside, same era.
“Geometry-Based Distance Decomposition for Monocular 3D Object Detection”
Xuepeng Shi et al · 2021
Closest in time.
“M3DSSD: Monocular 3D Single Stage Object Detector”
Shujie Luo, Hang Dai, Ling Shao and Yong Ding · 2021
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“DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries”
Yue Wang et al · 2021
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“Single-stage Keypoint-based Category-level Object Pose Estimation from an RGB Image”
Yunzhi Lin et al · 2021
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“FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection”
Tai Wang, Xinge Zhu, Jiangmiao Pang and Dahua Lin · 2021
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“Monocular 3d object detection leveraging accurate proposals and shape reconstruction”
Jason Ku, Alex Pon and Steven Waslander · 2019
Cited alongside, same era.
“Deep fitting degree scoring network for monocular 3d object detection”
Lijie Liu et al · 2019
Cited alongside, same era.
“Joint Monocular 3D Vehicle Detection and Tracking”
Hou-Ning Hu et al · 2019
Cited alongside, same era.
“Multi-sensor 3d object box refinement for autonomous driving”
Peiliang Li, Siqi Liu and Shaojie Shen · 2019
Cited alongside, same era.
“On the Continuity of Rotation Representations in Neural Networks” arXiv: 1812.07035
Yi Zhou et al · 2020
Cited alongside, same era.
“Monocular 3D object detection with decoupled structured polygon estimation and height-guided depth estimation”
Yingjie Cai et al · 2020
Cited alongside, same era.
“Learning Depth-Guided Convolutions for Monocular 3D Object Detection”
Mingyu Ding et al · 2020
Cited alongside, same era.
“UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection”
Juan Carrillo and Steven Waslander · 2021
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“3D Object Detection from a Single Fisheye Image Without a Single Fisheye Training Image”
Elad Plaut, Erez Ben and Bat El · 2021
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“Revisiting 3D Object Detection From an Egocentric Perspective”
Boyang Deng et al · 2021
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“SM3D: Simultaneous Monocular Mapping and 3D Detection”
Runfa Li and Truong Nguyen · 2021
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“SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud”
Wu Zheng, Weiliang Tang, Li Jiang and Chi-Wing Fu · 2021
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“Categorical depth distribution network for monocular 3d object detection”
Cody Reading, Ali Harakeh, Julia Chae and Steven Waslander · 2021
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Danila Rukhovich, Anna Vorontsova and Anton Konushin · 2021
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“Radar Voxel Fusion for 3D Object Detection”
Felix Nobis et al · 2021
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“Ground-aware monocular 3d object detection for autonomous driving”
Yuxuan Liu, Yuan Yixuan and Ming Liu · 2021
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“Geometry-based Distance Decomposition for Monocular 3D Object Detection”
Xuepeng Shi et al · 2021
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“Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues”
Frank Julca-Aguilar et al · 2021
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“To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels”
Yuning Chai et al · 2021
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“Center-Based 3D Object Detection and Tracking”
Tianwei Yin, Xingyi Zhou and Philipp Krahenbuhl · 2021
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“RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection”
Pei Sun et al · 2021
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“Delving into Localization Errors for Monocular 3D Object Detection”
Xinzhu Ma et al · 2021
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“Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection”
Yinmin Zhang et al · 2021
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“Geometry Uncertainty Projection Network for Monocular 3D Object Detection”
Yan Lu et al · 2021
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“Monocular 3D Object Detection: An Extrinsic Parameter Free Approach”
Yunsong Zhou et al · 2021
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“AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection”
Zongdai Liu et al · 2021
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“Progressive Coordinate Transforms for Monocular 3D Object Detection”
Li Wang et al · 2021
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“OCM3D: Object-Centric Monocular 3D Object Detection”
Liang Peng et al · 2021
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“Monocular 3D Detection With Geometric Constraint Embedding and Semi-Supervised Training”
Peixuan Li and Huaici Zhao · 2021
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“Learnable Fourier Features for Multi-DimensionalSpatial Positional Encoding”
Yang Li et al · 2021
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“PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss”
Juan Gonzalez and Munchurl Kim · 2021
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“Sign: Spatial-information incorporated generative network for generalized zero-shot semantic segmentation”
Jiaxin Cheng, Soumyaroop Nandi, Prem Natarajan and Wael Abd-Almageed · 2021
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“Rethinking transformer-based set prediction for object detection”
Zhiqing Sun, Shengcao Cao, Yiming Yang and Kris Kitani · 2021
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“Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals”
Minsoo Song, Seokjae Lim and Wonjun Kim · 2021
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“Deep manta: A coarse-to-fine many-task network for joint 2d and 3d vehicle analysis from monocular image”
Florian Chabot et al · 2049
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