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With recent advances in computer vision, it appears that autonomous driving will be part of modern society sooner rather than later.
“Imagenet: A large-scale hierarchical image database,”
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei, · 2009
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“Pedestrian detection: An evaluation of the state of the art,”
Piotr Dollar, Christian Wojek, Bernt Schiele, and Pietro Perona, · 2011
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“Vision meets robotics: The kitti dataset,”
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun, · 2013
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“Rich feature hierarchies for accurate object detection and semantic segmentation,”
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik, · 2014
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“Faster r-cnn: Towards real-time object detection with region proposal networks,”
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun, · 2015
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“You only look once: Unified, real-time object detection,”
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi, · 2016
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“Ssd: Single shot multibox detector,”
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg, · 2016
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“Exploit all the layers: Fast and accurate cnn object detector with scale dependent pooling and cascaded rejection classifiers,”
Fan Yang, Wongun Choi, and Yuanqing Lin, · 2016
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“Focal loss for dense object detection,”
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár, · 2017
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“Accurate single stage detector using recurrent rolling convolution,”
Jimmy Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, and Li Xu, · 2017
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“Cascade r-cnn: Delving into high quality object detection,”
Zhaowei Cai and Nuno Vasconcelos, · 2018
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“Yolov3: An incremental improvement,”
Joseph Redmon and Ali Farhadi, · 2018
Cited alongside, same era.
“Cornernet: Detecting objects as paired keypoints,”
Hei Law and Jia Deng, · 2018
Cited alongside, same era.
“Centernet: Keypoint triplets for object detection,”
Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang, and Qi Tian, · 2019
Cited alongside, same era.
“Fcos: Fully convolutional one-stage object detection,”
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He, · 2019
Cited alongside, same era.
“High-level semantic networks for multi-scale object detection,”
Jiale Cao, Yanwei Pang, Shengjie Zhao, and Xuelong Li, · 2019
Cited alongside, same era.
“Enhanced object detection with deep convolutional neural networks for advanced driving assistance,”
“nuscenes: A multimodal dataset for autonomous driving,”
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom, · 2020
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“Bdd100k: A diverse driving dataset for heterogeneous multitask learning,”
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell, · 2020
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“Tju-dhd: A diverse high-resolution dataset for object detection,”
Yanwei Pang, Jiale Cao, Yazhao Li, Jin Xie, Hanqing Sun, and Jinfeng Gong, · 2020
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“Dynamic head: Unifying object detection heads with attentions,”
Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, and Lei Zhang, · 2021
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“Swin transformer: Hierarchical vision transformer using shifted windows,”
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo, · 2021
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Jian Wei, Jianhua He, Yi Zhou, Kai Chen, Zuoyin Tang, and Zhiliang Xiong, · 2019
Cited alongside, same era.
“Eurocity persons: A novel benchmark for person detection in traffic scenes,”
Markus Braun, Sebastian Krebs, Fabian Flohr, and Dariu M Gavrila, · 2019
Cited alongside, same era.
“An image is worth 16x16 words: Transformers for image recognition at scale,”
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al., · 2020
Cited alongside, same era.
“End-to-end object detection with transformers,”
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko, · 2020
Cited alongside, same era.
“Monocular pedestrian orientation estimation based on deep 2d-3d feedforward,”
Chenchen Zhao, Yeqiang Qian, and Ming Yang, · 2020
Cited alongside, same era.
“Sp-nas: Serial-to-parallel backbone search for object detection,”
Chenhan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, and Zhenguo Li, · 2020
Cited alongside, same era.
“Fast convergence of detr with spatially modulated co-attention,”
Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, and Hongsheng Li, · 2021
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“Generalizable pedestrian detection: The elephant in the room,”
Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, and Ling Shao, · 2021
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“F2dnet: Fast focal detection network for pedestrian detection,”
Abdul Hannan Khan, Mohsin Munir, Ludger van Elst, and Andreas Dengel, · 2022
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“Shift: a synthetic driving dataset for continuous multi-task domain adaptation,”
Tao Sun, Mattia Segu, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, and Fisher Yu, · 2022
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“Localized semantic feature mixers for efficient pedestrian detection in autonomous driving,”
Abdul Hannan Khan, Mohammed Shariq Nawaz, and Andreas Dengel, · 2023
Later among the works it cites.