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Multi-modal fusion is a fundamental task for the perception of an autonomous driving system, which has recently intrigued many researchers.
3d is here: Point cloud library (pcl)
Radu Bogdan Rusu and Steve Cousins · 2011
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Tracking an rgb-d camera using points and planes
Esra Ataer-Cansizoglu, Yuichi Taguchi, Srikumar Ramalingam, and Tyler Garaas · 2013
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Road curb and lanes detection for autonomous driving on urban scenarios
C Fernández, Rubén Izquierdo, David Fernández Llorca, and MA Sotelo · 2014
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Free space detection with deep nets for autonomous driving, 2014
Joel Pazhayampallil et al · 2014
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Octree-based region growing for point cloud segmentation
Anh-Vu Vo, Linh Truong-Hong, Debra F Laefer, and Michela Bertolotto · 2015
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Pose-rcnn: Joint object detection and pose estimation using 3d object proposals
Markus Braun, Qing Rao, Yikang Wang, and Fabian Flohr · 2016
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Multimodal compact bilinear pooling for visual question answering and visual grounding
Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, and Marcus Rohrbach · 2016
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Hadamard product for low-rank bilinear pooling
Jin-Hwa Kim, Kyoung-Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, and Byoung-Tak Zhang · 2016
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Mutan: Multimodal tucker fusion for visual question answering
Hedi Ben-Younes, Rémi Cadene, Matthieu Cord, and Nicolas Thome · 2017
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Fast ground filtering for tls data via scanline density analysis
Erzhuo Che and Michael J Olsen · 2017
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3d object proposals using stereo imagery for accurate object class detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2017
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Multi-view 3d object detection network for autonomous driving
Xiaozhi Chen, Huimin Ma, Ji Wan, Bo Li, and Tian Xia · 2017
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Fast boosting based detection using scale invariant multimodal multiresolution filtered features
Arthur Daniel Costea, Robert Varga, and Sergiu Nedevschi · 2017
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Traffic sign occlusion detection using mobile laser scanning point clouds
Pengdi Huang, Ming Cheng, Yiping Chen, Huan Luo, Cheng Wang, and Jonathan Li · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Fusing bird view lidar point cloud and front view camera image for deep object detection
Zining Wang, Wei Zhan, and Masayoshi Tomizuka · 2017
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Multimodal vehicle detection: fusing 3d-lidar and color camera data
Alireza Asvadi, Luis Garrote, Cristiano Premebida, Paulo Peixoto, and Urbano J Nunes · 2018
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A general pipeline for 3d detection of vehicles
Xinxin Du, Marcelo H Ang, Sertac Karaman, and Daniela Rus · 2018
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The apolloscape dataset for autonomous driving
Xinyu Huang, Xinjing Cheng, Qichuan Geng, Binbin Cao, Dingfu Zhou, Peng Wang, Yuanqing Lin, and Ruigang Yang · 2018
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Robust camera lidar sensor fusion via deep gated information fusion network
Jaekyum Kim, Jaehyung Choi, Yechol Kim, Junho Koh, Chung Choo Chung, and Jun Won Choi · 2018
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Joint 3d proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L Waslander · 2018
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Deep continuous fusion for multi-sensor 3d object detection
Ming Liang, Bin Yang, Shenlong Wang, and Raquel Urtasun · 2018
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Multimodal cnn pedestrian classification: a study on combining lidar and camera data
Gledson Melotti, Cristiano Premebida, Nuno MM da S Gonçalves, Urbano JC Nunes, and Diego R Faria · 2018
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Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
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Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning
Vasili Ramanishka, Yi-Ting Chen, Teruhisa Misu, and Kate Saenko · 2018
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Semantic classification of 3d point clouds with multiscale spherical neighborhoods
Hugues Thomas, François Goulette, Jean-Emmanuel Deschaud, Beatriz Marcotegui, and Yann LeGall · 2018
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Lanenet: Real-time lane detection networks for autonomous driving
Ze Wang, Weiqiang Ren, and Qiang Qiu · 2018
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Fusing bird’s eye view lidar point cloud and front view camera image for 3d object detection
Zining Wang, Wei Zhan, and Masayoshi Tomizuka · 2018
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Pointfusion: Deep sensor fusion for 3d bounding box estimation
Danfei Xu, Dragomir Anguelov, and Ashesh Jain · 2018
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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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Ipod: Intensive point-based object detector for point cloud
Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, and Jiaya Jia · 2018
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Overview of image segmentation and its application on free space detection
Xiaodong Zhao, Qichao Zhang, Dongbin Zhao, and Zhonghua Pang · 2018
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Voxelnet: End-to-end learning for point cloud based 3d object detection
Yin Zhou and Oncel Tuzel · 2018
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, et al · 2019
Earlier work this paper cites.
Noise-aware unsupervised deep lidar-stereo fusion
Xuelian Cheng, Yiran Zhong, Yuchao Dai, Pan Ji, and Hongdong Li · 2019
Cited alongside, same era.
Mlod: A multi-view 3d object detection based on robust feature fusion method
Jian Deng and Krzysztof Czarnecki · 2019
Cited alongside, same era.
Seg-voxelnet for 3d vehicle detection from rgb and lidar data
Jian Dou, Jianru Xue, and Jianwu Fang · 2019
Cited alongside, same era.
Gated2depth: Real-time dense lidar from gated images
Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, and Felix Heide · 2019
Cited alongside, same era.
Integrating dense lidar-camera road detection maps by a multi-modal crf model
Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, Jose M Alvarez, and Hui Kong · 2019
Cited alongside, same era.
Road detection through crf based lidar-camera fusion
Shuo Gu, Yigong Zhang, Jinhui Tang, Jian Yang, and Hui Kong · 2019
Deep learning for lidar point clouds in autonomous driving: a review
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Michael A Chapman, Dongpu Cao, and Jonathan Li · 2020
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Brno urban dataset-the new data for self-driving agents and mapping tasks
Adam Ligocki, Ales Jelinek, and Ludek Zalud · 2020
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P4contrast: Contrastive learning with pairs of point-pixel pairs for rgb-d scene understanding
Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser, and Hao Dong · 2020
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Pit30m: A benchmark for global localization in the age of self-driving cars
Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Bârsan, Shenlong Wang, Gellért Máttyus, and Raquel Urtasun · 2020
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Clocs: Camera-lidar object candidates fusion for 3d object detection
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Cited alongside, same era.
An integrated framework for autonomous driving: object detection, lane detection, and free space detection
Narsimlu Kemsaram, Anweshan Das, and Gijs Dubbelman · 2019
Cited alongside, same era.
Jason Ku, Alex D Pon, Sean Walsh, and Steven L Waslander · 2019
Cited alongside, same era.
Pointpillars: Fast encoders for object detection from point clouds
Alex H Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom · 2019
Cited alongside, same era.
Stereo r-cnn based 3d object detection for autonomous driving
Peiliang Li, Xiaozhi Chen, and Shaojie Shen · 2019
Cited alongside, same era.
Multi-task multi-sensor fusion for 3d object detection
Ming Liang, Bin Yang, Yun Chen, Rui Hu, and Raquel Urtasun · 2019
Cited alongside, same era.
Scanet: Spatial-channel attention network for 3d object detection
Haihua Lu, Xuesong Chen, Guiying Zhang, Qiuhao Zhou, Yanbo Ma, and Yong Zhao · 2019
Cited alongside, same era.
Su Pang, Daniel Morris, and Hayder Radha · 2020
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A* 3d dataset: Towards autonomous driving in challenging environments
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, and Jie Lin · 2020
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A*3d dataset: Towards autonomous driving in challenging environments
Quang-Hieu Pham, Pierre Sevestre, Ramanpreet Singh Pahwa, Huijing Zhan, Chun Ho Pang, Yuda Chen, Armin Mustafa, Vijay Chandrasekhar, and Jie Lin · 2020
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Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
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Lidar guided small obstacle segmentation
Aasheesh Singh, Aditya Kamireddypalli, Vineet Gandhi, and K Madhava Krishna · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
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R-agno-rpn: A lidar-camera region deep network for resolution-agnostic detection
Ruddy Théodose, Dieumet Denis, Thierry Chateau, Vincent Frémont, and Paul Checchin · 2020
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Pointpainting: Sequential fusion for 3d object detection
Sourabh Vora, Alex H Lang, Bassam Helou, and Oscar Beijbom · 2020
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Multi-view adaptive fusion network for 3d object detection
Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, and Jian Wu · 2020
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Kda3d: Key-point densification and multi-attention guidance for 3d object detection
Jiarong Wang, Ming Zhu, Bo Wang, Deyao Sun, Hua Wei, Changji Liu, and Haitao Nie · 2020
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Tartanair: A dataset to push the limits of visual slam
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, and Sebastian Scherer · 2020
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Urbanloco: a full sensor suite dataset for mapping and localization in urban scenes
Weisong Wen, Yiyang Zhou, Guohao Zhang, Saman Fahandezh-Saadi, Xiwei Bai, Wei Zhan, Masayoshi Tomizuka, and Li-Ta Hsu · 2020
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Pi-rcnn: An efficient multi-sensor 3d object detector with point-based attentive cont-conv fusion module
Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, and Xiaofei He · 2020
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Eu long-term dataset with multiple sensors for autonomous driving
Zhi Yan, Li Sun, Tomáš Krajník, and Yassine Ruichek · 2020
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Jin Hyeok Yoo, Yecheol Kim, Ji Song Kim, and Jun Won Choi · 2020
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Faraway-frustum: Dealing with lidar sparsity for 3d object detection using fusion
Haolin Zhang, Dongfang Yang, Ekim Yurtsever, Keith A Redmill, and Ümit Özgüner · 2020
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Maff-net: Filter false positive for 3d vehicle detection with multi-modal adaptive feature fusion
Zehan Zhang, Ming Zhang, Zhidong Liang, Xian Zhao, Ming Yang, Wenming Tan, and ShiLiang Pu · 2020
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Roifusion: 3d object detection from lidar and vision
Can Chen, Luca Zanotti Fragonara, and Antonios Tsourdos · 2021
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Cross-modal matching cnn for autonomous driving sensor data monitoring
Yiqiang Chen, Feng Liu, and Ke Pei · 2021
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Deep learning for image and point cloud fusion in autonomous driving: A review
Yaodong Cui, Ren Chen, Wenbo Chu, Long Chen, Daxin Tian, Ying Li, and Dongpu Cao · 2021
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Towards semantic segmentation of urban-scale 3d point clouds: A dataset, benchmarks and challenges
Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, and Andrew Markham · 2021
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Rellis-3d dataset: Data, benchmarks and analysis
Peng Jiang, Philip Osteen, Maggie Wigness, and Srikanth Saripalli · 2021
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Spatiotemporal texture reconstruction for dynamic objects using a single rgb-d camera
Hyomin Kim, Jungeon Kim, Hyeonseo Nam, Jaesik Park, and Seungyong Lee · 2021
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One million scenes for autonomous driving: Once dataset
Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, et al · 2021
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Offboard 3d object detection from point cloud sequences
Charles R Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, and Dragomir Anguelov · 2021
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Pointaugmenting: Cross-modal augmentation for 3d object detection
Chunwei Wang, Chao Ma, Ming Zhu, and Xiaokang Yang · 2021
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Multi-modal 3d object detection in autonomous driving: a survey
Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Yu Zhang, Jianmin Ji, and Yanyong Zhang · 2021
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Cirrus: A long-range bi-pattern lidar dataset
Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, and Qiang Qiu · 2021
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Fast and accurate 3d object detection for lidar-camera-based autonomous vehicles using one shared voxel-based backbone
Li-Hua Wen and Kang-Hyun Jo · 2021
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Pandaset: Advanced sensor suite dataset for autonomous driving
Pengchuan Xiao, Zhenlei Shao, Steven Hao, Zishuo Zhang, Xiaolin Chai, Judy Jiao, Zesong Li, Jian Wu, Kai Sun, Kun Jiang, Yunlong Wang, and Diange Yang · 2021
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X-view: Non-egocentric multi-view 3d object detector
Liang Xie, Guodong Xu, Deng Cai, and Xiaofei He · 2021
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Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds
Li Yi, Boqing Gong, and Thomas Funkhouser · 2021
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