Handling pedestrians in self-driving cars using image tracking and alternative path generation with Frenét frames
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Alberto Ferreira de Souza | Rodrigo Ferreira Berriel | Thiago Oliveira-Santos | Claudine Badue | Pedro Azevedo | Vinicius B. Cardoso | Renan Sarcinelli | Rânik Guidolini | Thiago M. Paixão | C. Badue | A. D. Souza | Thiago Oliveira-Santos | Rânik Guidolini | Pedro Azevedo | Rodrigo Berriel | T. M. Paixão | Renan Sarcinelli
[1] Yaser Sheikh,et al. OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Konrad Schindler,et al. Learning by Tracking: Siamese CNN for Robust Target Association , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[3] Alberto Ferreira de Souza,et al. Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach , 2017, Comput. Graph..
[4] Cristiano Premebida,et al. Exploiting LIDAR-based features on pedestrian detection in urban scenarios , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.
[5] Martial Hebert,et al. The Pose Knows: Video Forecasting by Generating Pose Futures , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[6] Jonathan Tompson,et al. Towards Accurate Multi-person Pose Estimation in the Wild , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[8] Edilson de Aguiar,et al. Large-scale mapping in complex field scenarios using an autonomous car , 2016, Expert Syst. Appl..
[9] Jitendra Malik,et al. Recurrent Network Models for Human Dynamics , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Xiaohui Li,et al. Real-Time Trajectory Planning for Autonomous Urban Driving: Framework, Algorithms, and Verifications , 2016, IEEE/ASME Transactions on Mechatronics.
[11] Bodo Rosenhahn,et al. Fusion of Head and Full-Body Detectors for Multi-object Tracking , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[12] Long Chen,et al. Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification , 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).
[13] Alberto Ferreira de Souza,et al. Neural-based model predictive control for tackling steering delays of autonomous cars , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[14] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[15] Julius Ziegler,et al. Optimal trajectory generation for dynamic street scenarios in a Frenét Frame , 2010, 2010 IEEE International Conference on Robotics and Automation.
[16] Yi Li,et al. R-FCN: Object Detection via Region-based Fully Convolutional Networks , 2016, NIPS.
[17] Heng Wang,et al. Robotics and Autonomous Systems , 2022 .
[18] Rodrigo F. Berriel,et al. Deep Learning-Based Large-Scale Automatic Satellite Crosswalk Classification , 2017, IEEE Geoscience and Remote Sensing Letters.
[19] Geng Yan,et al. Real-time Detection, Tracking, and Classification of Moving and Stationary Objects using Multiple Fisheye Images , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).
[20] Edilson de Aguiar,et al. Ego-Lane Analysis System (ELAS): Dataset and algorithms , 2017, Image Vis. Comput..
[21] Edilson de Aguiar,et al. Traffic sign detection with VG-RAM weightless neural networks , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[22] Michael J. Black,et al. On Human Motion Prediction Using Recurrent Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Yang Zhang,et al. Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[24] Thiago Oliveira-Santos,et al. Handling Pedestrians in Crosswalks Using Deep Neural Networks in the IARA Autonomous Car , 2018, 2018 International Joint Conference on Neural Networks (IJCNN).
[25] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[26] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[27] Miguel Angel Sotelo,et al. Autonomous Navigation and Obstacle Avoidance of a Micro-Bus , 2013 .
[28] Danica Kragic,et al. Deep Representation Learning for Human Motion Prediction and Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Alberto Ferreira de Souza,et al. A simple yet effective obstacle avoider for the IARA autonomous car , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[30] Edilson de Aguiar,et al. A light-weight yet accurate localization system for autonomous cars in large-scale and complex environments , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).
[31] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Victor M. Becerra,et al. Modeling, Simulation, and Control of Pedestrian Avoidance Maneuver for an Urban Electric Vehicle , 2015, 2015 IEEE European Modelling Symposium (EMS).
[33] Luc Van Gool,et al. Pedestrian detection at 100 frames per second , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[35] Shuicheng Yan,et al. Scale-Aware Fast R-CNN for Pedestrian Detection , 2015, IEEE Transactions on Multimedia.
[36] Alberto Ferreira de Souza,et al. A Model-Predictive Motion Planner for the IARA autonomous car , 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[37] Jingdong Wang,et al. Deeply-Learned Part-Aligned Representations for Person Re-identification , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).