J. F. Canny: A Computational approach to edge detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.8, No.6, p.679-698, 1986.
デジタル画像処理 11-5-1 ハフ変換, CG-ATRS協会, p.238-240, 2015.
デジタル画像処理 8-4-3 幾何学的変換の推定, CG-ATRS協会, p.175, 2015. (原論文)M. Fischer, et al.: Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography, Communications of the ACM, Vol.24, No.6, 1981.
Davy Neven et al.: Towards End-to-End Lane Detection: an Instance Segmentation Approach, arXiv:1802.05591v1 [cs.CV] 15 Feb 2018.
Bruce D. Lucas and Takeo Kanade: An Iterative Image Registration Technique with an Application to Stereo Vision. International Joint Conference on Artificial Intelligence, pages 674-679, 1981.
C. Tomasi and T. Kanade: Detection and Tracking of Point Features, Shape and Motion from Image Streams: a Factorization Method –Part 3, Technical Report CMU-CS91-132, School of Computer Science, Carnegie Mellon University, 1991.
C. Tomasi, J. Shi and T. Kanade: Good features to track, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1994.
C. Harris and M. Stephens: A Combined Corner and Edge Detector, Proc. 14th Alvey Vision Conference, pp.147-151, 1988.
D. Lowe: Distinctive image features from scale-invariant keypoints, International Journal of Computer Vision 60(2), pp.91-110, 2004.
H. Bay: SURF : Speeded Up Robust Features, ECCV, pp. 404-417, 2006.
藤吉弘亘，安倍満：局所勾配特徴抽出技術 ―SIFT特徴以降のアプローチ―，精密工学会誌 Vol. 77, No. 12, p. 1109-1116, 2011.
Edward Rosten, Reid Porter, and Tom Drummond, “Faster and better: a machine learning approach to corner detection” in IEEE Trans. Pattern Analysis and Machine Intelligence 2010, vol 32, pp. 105-119, 2010.
Pablo Fernández Alcantarilla, Adrien Bartoli, Andrew J. Davison: KAZE Features, ECCV 2012: Computer Vision – ECCV 2012 pp 214-227, 2012.
Pablo F. Alcantarilla, Jesús Nuevo, Adrien Bartoli.: Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces, British Machine Vision Conference (BMVC), p13.1-13.11, 2013.
Ethan Rublee, Vincent Rabaud, Kurt Konolige, Gary R. Bradski: ORB: An efficient alternative to SIFT or SURF, ICCV 2011, p. 2564-2571, 2011.
Michael Calonder, Vincent Lepetit, Christoph Strecha, Pascal Fua: BRIEF: Binary Robust Independent Elementary Features, 11th European Conference on Computer Vision (ECCV), p.778-792, 2010.
J. Forbes, et al.: The BATmobile: Towards a Bayesian Automated Taxi, The 14th International Joint Conference on Artificial Intelligence, p.1878-1885, 1995.
デジタル画像処理 14-1-3 エピポーラ幾何, CG-ATRS協会, p. 312-314, 2015.
デジタル画像処理 14-3-2 平行ステレオ, CG-ATRS協会, p. 319-320, 2015.
デジタル画像処理 14-1-2 同次座標を用いた記述, CG-ATRS協会, p. 310-312, 2015.
デジタル画像処理 11-1 テンプレートマッチングによるパターンの検出, CG-ATRS協会, p. 218-222, 2015.
Raúl Mur-Artal, et al.: ORB-SLAM: A Versatile and Accurate Monocular SLAM System, IEEE Transactions on Robotics, Vol. 31, No. 5, p. 1147-1163, 2015.
W. Zhou, et al.: Image Quality Assessment: From Error Visibility to Structural Similarity, IEEE Transactions on Image Processing. Vol. 13, Issue 4, p. 600-612, 2004.
Tokihiko Akita, et al.: Stereo Vision by Combination of Machine Learning Techniques for Pedestrian Detection at Intersection Utilizing Surround View Cameras, Journal of Robotics and Mechatronics Vol. 32 No.3, Rb32-3-10551, 2020.
T. Trzcinski, et al.: Efficient Discriminative Projections for Compact Binary Descriptors, ECCV2012.
Tokihiko Akita, et al.: Parking Space Detection with Motion Stereo Camera applying Viterbi algorithm, Proceedings of the 24th World Congress on ITS, Paper ID # AP-TP0780, 2017.
G. David Forney, JR.: The Viterbi Algorithm, Proceedings of the IEEE, Vol. 61, No. 3, pp. 268-278, 1973.
VisualSFM URL: http://ccwu.me/vsfm/
CMPMVS URL: http://ptak.felk.cvut.cz/sfmservice/
「ぶつからないクルマ」が障害物を見分ける最新技術,日経トレンディネット, 2012年10月3日.
Charles R. Qi, et al.: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation, CVPR2017.
Shaoqing Ren: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, NIPS2015 (arXiv:1506.01497 [cs.CV]).
Joseph Redmon: You Only Look Once: Unified, Real-Time Object Detection, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (arXiv:1506.02640 [cs.CV])
Viola and Jones: Rapid object detection using a boosted cascade of simple features, IEEE Computer Vision and Pattern Recognition, 2001.
T. Ojala, et al.: A comparative study of texture measures with classification based on featured distributions”, Pattern Recognition, Vol. 29, Issue 1, p. 51-59, 1996.
渡辺友樹，他： 画像認識による歩行者検出のための特徴量抽出技術の開発，映像情報メディア学会誌，Vol. 71, No.1, p. J28-J34, 2017.
P. Felzenszwalb, et al.: A discriminatively trained, multiscale, deformable part model, IEEE Computer Vision and Pattern Recognition, 2008. [9] L. Itti, C. Koch, et al.: A Model of Saliency-Based Visual Attention for Rapid Scene Analysis，IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol.20, No.11, p.1254-1259, 1998.
Tokihiko Akita, et al.: Image Recognition of Vehicle Applying Fusion of Structured Heuristic Knowledge and Machine Learning, International Journal of Automotive Engineering, Vol.5, No. 2, 2014.
ディジタル画像処理，12 パターン認識，CG-ATRS協会，2015.
Alexey Dosovitskiy，et al.: An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale, arXiv:2010.11929 [cs.CV], 2020.
Yann LeCun, et al.: Backpropagation Applied to Handwritten Zip Code Recognition, Neural Computation 1 (4), p. 541–551, 1989.
Ross Girshick, et al.: Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, (arXiv:1311.2524 [cs.CV]), 2013.
Wei Liu, et al.: SSD: Single Shot MultiBox Detector, European Conference on Computer Vision (ECCV 2016), p. 21-37, 2016.
Vijay Badrinarayanan, et al.: SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 39, Issue 12, 2017. (arXiv:1511.00561 [cs.CV])
Felix Nobis, et al.: Exploring the Capabilities and Limits of 3D Monocular Object Detection - A Study on Simulation and Real World Data, IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), 2020.
Igor Vasiljevic, et al.: Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion, 2020 International Conference on 3D Vision (3DV), (arXiv:2008.06630v1 [cs.CV]), 2020.
足立修一, 他: カルマンフィルタの基礎, 東京電機大学出版局, 2012.
Tokihiko Akita, et al.: Research of Stop Assistance Considering Visibility of Intersection, International Journal of Automotive Engineering, Vol.5, No. 2, 2014.
