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Enhanced emotion enabled cognitive agent-based rear-end collision avoidance controller for autonomous vehicles

Faisal Riaz, Muaz A Niazi
2017 Simulation (San Diego, Calif.)  
Whereas, the real road driving is influenced by non-linear factors such as road surface situations, driver reaction time, pedestrian flow and vehicle dynamics, hence obtaining the accurate mathematical  ...  Performance Measurement of EEC_Agent Based Controller For Tweaks Handling (AV-Pedestrian Collision Avoidance) (1) The sudden appearance of a pedestrian in the front of prototype AV. (2) The results of  ...  In the same way, other validation results can be cross-checked using hand tracing mechanism.  ... 
doi:10.1177/0037549717742203 fatcat:pbleanq3azfhfcstz6cornajcq

A Multi-Analytical Study for the Enhancement and Accessibility of Archaeological Heritage: The Churches of San Nicola and San Basilio in Motta Sant'Agata (RC, Italy)

Dario Giuffrida, Viviana Mollica Nardo, Daniela Neri, Giovanni Cucinotta, Irene Vittoria Calabrò, Loredana Pace, Rosina Celeste Ponterio
2021 Remote Sensing  
Among these, two interesting medieval churches are proposed for examination: the church of San Nicola, characterized by five hypogeal funeral crypts, and the chapel of San Basilio, which preserves the  ...  The aim is to improve the knowledge, conservation, enhancement and accessibility of cultural assets and to make them a resource for national and local development.  ...  The authors wish to give special thanks to Valeria Varà and Orlando Sorgonà for the fruitfull discussions on the history of the ancient site of Motta S. Agata.  ... 
doi:10.3390/rs13183738 fatcat:kircjyg72nht5o6n6wyabrhrum

Scalability in Perception for Autonomous Driving: Waymo Open Dataset [article]

Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han (+13 others)
2020 arXiv   pre-print
Finally, we provide strong baselines for 2D as well as 3D detection and tracking tasks. We further study the effects of dataset size and generalization across geographies on 3D detection methods.  ...  In an effort to help align the research community's contributions with real-world self-driving problems, we introduce a new large scale, high quality, diverse dataset.  ...  Furthermore, we offer synchronization between the camera and the LiDAR readings, which offers interesting opportu-nities for cross-domain learning and transfer.  ... 
arXiv:1912.04838v7 fatcat:els2cnyc3vhrth2sryinkudidi

SkyQuery: An Aerial Drone Video Sensing Platform [article]

Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Michael Cafarella, Tim Kraska, Sam Madden
2021 arXiv   pre-print
SkyQuery combines novel methods for fast video frame alignment and detection of small objects in top-down aerial drone video to efficiently execute applications with diverse video analysis workflows and  ...  We conduct diverse case studies using SkyQuery in parking monitoring, pedestrian activity mapping, and traffic hazard detection scenarios to demonstrate the generalizability and effectiveness of our system  ...  Figure 3 . 3 Example pedestrians in 1080p aerial drone video. Figure 4 . 4 Simple, shallow neural network architecture we use for our change-aware object detection method.  ... 
arXiv:2103.14699v1 fatcat:4qbpkpteunbfbevprawgzloa3m

Multiscale Reference-Aided Attentive Feature Aggregation for Person Re-identification

Li Xu, Xiang Fu
2021 IEEE Access  
MFFM operates the output features of each layer of the backbone network and selects useful information for fusion to obtain more features.  ...  [33] designed a dynamic alignment network to automatically align image blocks from top to bottom. In terms of the spatial alignment of the human body, Zheng Z et al.  ... 
doi:10.1109/access.2021.3119576 fatcat:ymhk5ci6ffb2jf5manhj3k3emm

Sharp Attention Network via Adaptive Sampling for Person Re-identification [article]

Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua
2018 arXiv   pre-print
This greatly differs from the gating-based attention mechanism that relies soft gating functions to select the relevant features for person re-ID.  ...  In this paper, we present novel sharp attention networks by adaptively sampling feature maps from convolutional neural networks (CNNs) for person re-identification (re-ID) problem.  ...  ACKNOWLEDGMENT This work was supported in part by the Fundamental Research Funds for the Central Universities.  ... 
arXiv:1805.02336v2 fatcat:uo7ggigxyffrbf6kovda24eweu

Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-Identification [article]

Guoqing Zhang, Junchuan Yang, Yuhui Zheng, Yi Wu, Shengyong Chen
2021 arXiv   pre-print
Prevailing deep convolutional neural networks (CNNs) usually use high-level features for identifying pedestrian.  ...  In addition, most existing person re-ID methods are mainly based on hand-craft bounding boxes where images are precisely aligned.  ...  Influences of Each Component (Cross-domain): To further verify the usefulness of each of our components, we also perform cross-domain experiments and the results are listed in Table VIII below.  ... 
arXiv:2009.07536v2 fatcat:dmelu7f4t5hqfiln6646vaiocy

SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification [article]

Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang
2018 arXiv   pre-print
To address the above issues, we present a novel and practical deep architecture for video person re-identification termed Self-and-Collaborative Attention Network (SCAN).  ...  It aims to match image sequences of pedestrians from different camera views.  ...  After feature extraction, the Self Attention Network (SAN) is adopted to select the informative frames to further enhance the representation of each image sequence.  ... 
arXiv:1807.05688v3 fatcat:ti7yyafavrgmlghcnhptfsk5yy

Neural Rerendering in the Wild [article]

Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla
2019 arXiv   pre-print
This rerendering network also takes as input a latent appearance vector and a semantic mask indicating the location of transient objects like pedestrians.  ...  For each photo, we render the scene points into a deep framebuffer, and train a neural network to learn the mapping of these initial renderings to the actual photos.  ...  Acknowledgements: We thank Gregory Blascovich for his help in conducting the user study, and Johannes Schönberger and True Price for their help generating datasets.  ... 
arXiv:1904.04290v1 fatcat:ozl2dzw52jabbeupetot62f5me

Neural Rerendering in the Wild

Moustafa Meshry, Dan B. Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
This rerendering network also takes as input a latent appearance vector and a semantic mask indicating the location of transient objects like pedestrians.  ...  For each photo, we render the scene points into a deep framebuffer, and train a neural network to learn the mapping of these initial renderings to the actual photos.  ...  ., pedestrians and cars, and allow for reproducing or omitting them.  ... 
doi:10.1109/cvpr.2019.00704 dblp:conf/cvpr/MeshryGKHPSM19 fatcat:oim43sxz2fezlicvdptrfmn4ay

OBJECT RE-IDENTIFICATION USING MULTIMODAL AERIAL IMAGERY AND CONDITIONAL ADVERSARIAL NETWORKS

V. V. Kniaz, P. Moshkantseva
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
This paper focuses on developing a deep learning ThermalReID framework for cross-modality object ReID in thermal images.  ...  We developed the ThermalReID framework for cross-modality object re-identification. We evaluated our framework and two modern baselines on the task of object ReID for four object classes.  ...  Multiple pedestrian detections are applied for improving the matching rate.  ... 
doi:10.5194/isprs-archives-xliv-2-w1-2021-131-2021 fatcat:hfw62uz7znalfjre35bw2fhife

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Jumbo, O.E., +, TIP 2021 2276-2287 Cubemap-Based Perception-Driven Blind Quality Assessment for Chen, Y., +, TIP 2021 4057-4069 G SAN: Selective Alignment Network for Cross-Domain Pedestrian Detec-Reduced  ...  ., +, TIP 2021 6648-6658 AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Deep Visible and Thermal Image Fusion for Enhanced Pedestrian Visibility

Ivana Shopovska, Ljubomir Jovanov, Wilfried Philips
2019 Sensors  
; and an auxiliary pedestrian detection error to help defining relevant features of the human appearance and blending them into the output.  ...  We train a convolutional neural network using image samples from variable conditions (day and night) so that the network learns the appearance of humans in the different modalities and creates more robust  ...  network for person detection as a training criterion.  ... 
doi:10.3390/s19173727 pmid:31466378 pmcid:PMC6749306 fatcat:ykjkwe7xhbh5pf3f54ez34soi4

A Generic Scenario on Urban Sustainability of a Historical City Center

Simon Chih-Feng Shu, Ching-Kai Lin
2020 Nakhara : Journal of Environmental Design and Planning  
The research findings suggest that linearity and critical street segments being properly integrated with the whole arterial street network could be crucial for future city planning.  ...  This research has examined a declined old city centre in central Taiwan by deploying Space Syntax analysis to verify possible contributions of parts-whole street network disconnection to the death of CBD  ...  From the segment length analysis of "Relative Choice" on the first amendment of Min-Chiuan Road, it is detected that the declined reinforcing spatial seeds of San-Min Road and Min-Chiuan Road seem to become  ... 
doi:10.54028/nj2020181136 fatcat:sw5f23gzxrbqbo23oad5loi2pq

Edge-Guided Cross-Domain Learning with Shape Regression for Sketch-Based Image Retrieval

Yuxin Song, Jianjun Lei, Bo Peng, Kaifu Zheng, Bolan Yang, Yalong Jia
2019 IEEE Access  
In this paper, we propose a novel edge-guided cross-domain learning network to reduce the domain gap.  ...  An edge guidance module is proposed to fuse natural images and the corresponding edge maps, which guides the network to generate more discriminative features in the domain alignment process.  ...  For each category, 10 sketches are randomly selected for testing, and the rest are used for training.  ... 
doi:10.1109/access.2019.2903534 fatcat:qbuyyywfxbcvxolnwpb6lo3y74
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