Robust and Subject-Independent Driving Manoeuvre Anticipation through Domain-Adversarial Recurrent Neural Networks
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Carlo Alberto Avizzano | Emanuele Ruffaldi | Alessandro Cattaneo | Michele Tonutti | C. Avizzano | E. Ruffaldi | A. Cattaneo | Michele Tonutti
[1] Christopher Kermorvant,et al. Where to apply dropout in recurrent neural networks for handwriting recognition? , 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).
[2] Roland Kuhn,et al. Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation , 2010, EMNLP.
[3] ChengXiang Zhai,et al. Instance Weighting for Domain Adaptation in NLP , 2007, ACL.
[4] Mohan M. Trivedi,et al. On-road prediction of driver's intent with multimodal sensory cues , 2011, IEEE Pervasive Computing.
[5] G. Gredebäck,et al. Eye Movements During Action Observation , 2015, Perspectives on psychological science : a journal of the Association for Psychological Science.
[6] Mohan M. Trivedi,et al. Looking-in and looking-out vision for Urban Intelligent Assistance: Estimation of driver attentive state and dynamic surround for safe merging and braking , 2014, 2014 IEEE Intelligent Vehicles Symposium Proceedings.
[7] Peter Robinson,et al. OpenFace: An open source facial behavior analysis toolkit , 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV).
[8] Ashutosh Saxena,et al. Robobarista: Object Part Based Transfer of Manipulation Trajectories from Crowd-Sourcing in 3D Pointclouds , 2015, ISRR.
[9] Trevor Darrell,et al. Simultaneous Deep Transfer Across Domains and Tasks , 2015, ICCV.
[10] Jürgen Schmidhuber,et al. Learning to forget: continual prediction with LSTM , 1999 .
[11] Junqiang Xi,et al. Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics , 2017, IEEE Transactions on Intelligent Transportation Systems.
[12] Alexander Yates,et al. Distributional Representations for Handling Sparsity in Supervised Sequence-Labeling , 2009, ACL.
[13] Philip S. Yu,et al. Deep Learning of Transferable Representation for Scalable Domain Adaptation , 2016, IEEE Transactions on Knowledge and Data Engineering.
[14] ZuWhan Kim,et al. Robust Lane Detection and Tracking in Challenging Scenarios , 2008, IEEE Transactions on Intelligent Transportation Systems.
[15] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[16] Yoonsook Hwang,et al. A Validation Study on a Subjective Driving Workload Prediction Tool , 2014, IEEE Transactions on Intelligent Transportation Systems.
[17] Christian Wolf,et al. Sequential Deep Learning for Human Action Recognition , 2011, HBU.
[18] Yuan Shi,et al. Geodesic flow kernel for unsupervised domain adaptation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Marco Gamba,et al. BORIS: a free, versatile open‐source event‐logging software for video/audio coding and live observations , 2016 .
[20] R. Johansson,et al. Action plans used in action observation , 2003, Nature.
[21] Sebastian Ruder,et al. An overview of gradient descent optimization algorithms , 2016, Vestnik komp'iuternykh i informatsionnykh tekhnologii.
[22] Trevor Darrell,et al. Adapting Visual Category Models to New Domains , 2010, ECCV.
[23] A. ZelinskyResearch,et al. The Essential Components of Human-Friendly Robot Systems , 1999 .
[24] Rama Chellappa,et al. Visual Domain Adaptation: A survey of recent advances , 2015, IEEE Signal Processing Magazine.
[25] Brian C. Lovell,et al. Unsupervised Domain Adaptation by Domain Invariant Projection , 2013, 2013 IEEE International Conference on Computer Vision.
[26] M.M. Trivedi,et al. Looking-in and looking-out of a vehicle: selected investigations in computer vision based enhanced vehicle safety , 2005, IEEE International Conference on Vehicular Electronics and Safety, 2005..
[27] Mohan M. Trivedi,et al. Dynamic Probabilistic Drivability Maps for Lane Change and Merge Driver Assistance , 2014, IEEE Transactions on Intelligent Transportation Systems.
[28] Masamichi Shimosaka,et al. Modeling risk anticipation and defensive driving on residential roads with inverse reinforcement learning , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).
[29] Amandeep Kaur,et al. Face detection techniques: a review , 2018, Artificial Intelligence Review.
[30] Qiang Ji,et al. A joint cascaded framework for simultaneous eye detection and eye state estimation , 2017, Pattern Recognit..
[31] Tinne Tuytelaars,et al. Unsupervised Visual Domain Adaptation Using Subspace Alignment , 2013, 2013 IEEE International Conference on Computer Vision.
[32] Junqiang Xi,et al. Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation , 2016, ArXiv.
[33] Koby Crammer,et al. Analysis of Representations for Domain Adaptation , 2006, NIPS.
[34] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[35] Kazuya Takeda,et al. Driver-Behavior Modeling Using On-Road Driving Data: A new application for behavior signal processing , 2016, IEEE Signal Processing Magazine.
[36] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[37] David R. Thom,et al. MOTORCYCLE ACCIDENT CAUSE FACTORS AND IDENTIFICATION OF COUNTERMEASURES. VOLUME II: APPENDIX/SUPPLEMENTAL DATA , 1980 .
[38] Luke Fletcher,et al. Driver Inattention Detection based on Eye Gaze—Road Event Correlation , 2009, Int. J. Robotics Res..
[39] Wojciech Zaremba,et al. An Empirical Exploration of Recurrent Network Architectures , 2015, ICML.
[40] Massimo Bergamasco,et al. Fork-lift truck simulator for training in industrial environment , 2005, 2005 IEEE Conference on Emerging Technologies and Factory Automation.
[41] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[42] Andrew Y. Ng,et al. Parsing Natural Scenes and Natural Language with Recursive Neural Networks , 2011, ICML.
[43] Guy Lapalme,et al. A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..
[44] Kilian Q. Weinberger,et al. Marginalized Denoising Autoencoders for Domain Adaptation , 2012, ICML.
[45] Yoshua Bengio,et al. Gated Feedback Recurrent Neural Networks , 2015, ICML.
[46] Junqiang Xi,et al. Statistical-based approach for driving style recognition using Bayesian probability with kernel density estimation , 2019 .
[47] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[48] Gang Wang,et al. Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition , 2016, ECCV.
[49] Min Sun,et al. Anticipating Accidents in Dashcam Videos , 2016, ACCV.
[50] Juhan Nam,et al. Multimodal Deep Learning , 2011, ICML.