3D object detection based on sparse convolution neural network and feature fusion for autonomous driving in smart cities
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Xiaoliang Ma | Jun Cheng | Lei Wang | Chen Jiahao | Lei Wang | Xiaoyun Fan | Jun Tan | Xiaoliang Ma | Jun Cheng | Lei Wang | J. Tan | Xiaoyun Fan | Chen Jiahao
[1] Kaiming He,et al. Feature Pyramid Networks for Object Detection , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Bin Yang,et al. Multi-Task Multi-Sensor Fusion for 3D Object Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Yin Zhou,et al. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] Jiaolong Xu,et al. Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).
[5] H. Mouftah,et al. Autonomous vehicles in the sustainable cities, the beginning of a green adventure , 2019, Sustainable Cities and Society.
[6] Jana Kosecka,et al. 3D Bounding Box Estimation Using Deep Learning and Geometry , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Bo Li,et al. 3D fully convolutional network for vehicle detection in point cloud , 2016, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[8] Rico Krueger,et al. Autonomous driving and residential location preferences: Evidence from a stated choice survey , 2019, Transportation Research Part C: Emerging Technologies.
[9] Xiaogang Wang,et al. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Yi-Ting Chen,et al. The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[11] Fuchun Sun,et al. HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Bo Li,et al. SECOND: Sparsely Embedded Convolutional Detection , 2018, Sensors.
[13] Xiaonian Wang,et al. Road-Segmentation-Based Curb Detection Method for Self-Driving via a 3D-LiDAR Sensor , 2018, IEEE Transactions on Intelligent Transportation Systems.
[14] Jianxiong Xiao,et al. Sliding Shapes for 3D Object Detection in Depth Images , 2014, ECCV.
[15] Qichao Zhang,et al. Multi-task learning for dangerous object detection in autonomous driving , 2017, Inf. Sci..
[16] Bin Yang,et al. PIXOR: Real-time 3D Object Detection from Point Clouds , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Ching-Yao Chan. Advancements, prospects, and impacts of automated driving systems , 2017 .
[18] Sanja Fidler,et al. 3D Object Proposals Using Stereo Imagery for Accurate Object Class Detection , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Bin Yang,et al. Deep Continuous Fusion for Multi-sensor 3D Object Detection , 2018, ECCV.
[20] Jing Ye,et al. RT3D: Real-Time 3-D Vehicle Detection in LiDAR Point Cloud for Autonomous Driving , 2018, IEEE Robotics and Automation Letters.
[21] Wei Liu,et al. ParseNet: Looking Wider to See Better , 2015, ArXiv.
[22] Alfred Benedikt Brendel,et al. Young people’s travel behavior – Using the life-oriented approach to understand the acceptance of autonomous driving , 2019, Transportation Research Part D: Transport and Environment.
[23] Viktoriya Kolarova,et al. Assessing the effect of autonomous driving on value of travel time savings: A comparison between current and future preferences , 2019, Transportation Research Part A: Policy and Practice.
[24] Yin Zhou,et al. MVX-Net: Multimodal VoxelNet for 3D Object Detection , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[25] Csaba Benedek,et al. Instant Object Detection in Lidar Point Clouds , 2017, IEEE Geoscience and Remote Sensing Letters.
[26] Tian Xia,et al. Vehicle Detection from 3D Lidar Using Fully Convolutional Network , 2016, Robotics: Science and Systems.
[27] Ingmar Posner,et al. Voting for Voting in Online Point Cloud Object Detection , 2015, Robotics: Science and Systems.
[28] Juhan Nam,et al. Multi-Level and Multi-Scale Feature Aggregation Using Pretrained Convolutional Neural Networks for Music Auto-Tagging , 2017, IEEE Signal Processing Letters.
[29] Silvio Savarese,et al. Data-driven 3D Voxel Patterns for object category recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Huchuan Lu,et al. Edge-Aware Convolution Neural Network Based Salient Object Detection , 2019, IEEE Signal Processing Letters.
[31] Cosimo Rubino,et al. 3D Object Localisation from Multi-View Image Detections , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Jing Hu,et al. A Multiscale Fusion Convolutional Neural Network for Plant Leaf Recognition , 2018, IEEE Signal Processing Letters.
[33] Ji Wan,et al. Multi-view 3D Object Detection Network for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Leonidas J. Guibas,et al. Frustum PointNets for 3D Object Detection from RGB-D Data , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] M. D. Adams,et al. Lidar design, use, and calibration concepts for correct environmental detection , 2000, IEEE Trans. Robotics Autom..
[36] Laurens van der Maaten,et al. 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[37] Li Sun,et al. Integrating Deep Semantic Segmentation Into 3-D Point Cloud Registration , 2018, IEEE Robotics and Automation Letters.
[38] Zhihui Lu,et al. A self-adaptive approach to service deployment under mobile edge computing for autonomous driving , 2019, Eng. Appl. Artif. Intell..
[39] Ben Graham,et al. Sparse 3D convolutional neural networks , 2015, BMVC.
[40] Dushyant Rao,et al. Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[41] Long Chen,et al. Dynamic path planning for autonomous driving on various roads with avoidance of static and moving obstacles , 2018 .
[42] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Steven Lake Waslander,et al. Joint 3D Proposal Generation and Object Detection from View Aggregation , 2017, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[44] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[45] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Yi Zhang,et al. Accurate and Real-Time Object Detection Based on Bird's Eye View on 3D Point Clouds , 2019, 2019 International Conference on 3D Vision (3DV).
[47] Sanja Fidler,et al. Monocular 3D Object Detection for Autonomous Driving , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Thomas Brox,et al. Orientation-boosted Voxel Nets for 3D Object Recognition , 2016, BMVC.
[49] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).