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Forecasting Interactive Dynamics of Pedestrians with Fictitious Play [article]

Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
2017 arXiv   pre-print
To address these challenges, we (1) utilize concepts from game theory to model the interdependent decision making process of multiple pedestrians and (2) use visual classifiers to learn a mapping from  ...  We develop predictive models of pedestrian dynamics by encoding the coupled nature of multi-pedestrian interaction using game theory, and deep learning-based visual analysis to estimate person-specific  ...  To address these complexities of multi-agent future prediction, we propose a game-theoretic approach.  ... 
arXiv:1604.01431v3 fatcat:6x2vk4nehbh73mqrpc5hickqou

Forecasting Interactive Dynamics of Pedestrians with Fictitious Play

Wei-Chiu Ma, De-An Huang, Namhoon Lee, Kris M. Kitani
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Results show that our strategic planning model predicts and explains human interactions 25% better when compared to a state-of-the-art activity forecasting method.  ...  We address these challenges by utilizing concepts from game theory to model the intertwined decision making process of multiple pedestrians and use visual classifiers to learn a mapping from pedestrian  ...  To address these complexities of multi-agent future prediction, we propose a game-theoretic approach.  ... 
doi:10.1109/cvpr.2017.493 dblp:conf/cvpr/MaHLK17 fatcat:fvgp24aswzg75dbnrjopyjezhm

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
Nguyen, A., +, TITS July 2020 3069-3079 G Game theory A Game Theoretic Approach for Distributed and Coordinated Channel Access Control in Cooperative Vehicle Safety Systems.  ...  Airports A Game-Theoretic Analysis of Reallocation Mechanisms for Airport Landing Slots.  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4

Pedestrian Models for Autonomous Driving Part II: high level models of human behaviour [article]

Fanta Camara, Nicola Bellotto, Serhan Cosar, Florian Weber, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Gustav Markkula, Anna Schieben, Fabio Tango, Natasha Merat (+1 others)
2020 arXiv   pre-print
This self-contained Part II covers the higher levels of this stack, consisting of models of pedestrian behaviour, from prediction of individual pedestrians' likely destinations and paths, to game theoretic  ...  Unlike static and kinematic obstacles, pedestrians are active agents with complex, interactive motions.  ...  [37] used a HTC Vive VR headset for pedestrians interacting with a game theoretic autonomous vehicle.  ... 
arXiv:2003.11959v1 fatcat:acjjwohahvdlxgy56j45fjtkdq

Scanning the Issue

Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
Unlike static obstacles, pedestrians are active agents with complex, interactive motions. Planning AV actions in the presence of pedestrians thus requires modeling of their  ...  Yet, given the diversity of involved stakeholders, a wide range of objectives must be balanced to make effective use of platooning's full potential.  ...  The initial Gaussian pedestrian distribution is improved to a higher order smoothing function, to describe more complex pedestrian merging scenarios.  ... 
doi:10.1109/tits.2021.3113361 fatcat:x2xuoh2qefcdrmqpbwqfttcvhm

Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches [article]

Raphael Korbmacher, Antoine Tordeux
2021 arXiv   pre-print
Furthermore, the comparison shows that the combination of both approaches (the hybrid approach) seems to be promising to overcome disadvantages like the missing explainability of the deep learning approach  ...  In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task depending on many external factors.  ...  The crowd dynamics in a mean-fields game is modeled as an optimisation problem and multi-player Nash equilibrium.  ... 
arXiv:2111.06740v1 fatcat:lstxi2qrhrhdtlpm47x4vpinry

Simulating multi-exit evacuation using deep reinforcement learning [article]

Dong Xu, Xiao Huang, Joseph Mango, Xiang Li, Zhenlong Li
2020 arXiv   pre-print
We propose a multi-exit evacuation simulation based on Deep Reinforcement Learning (DRL), referred to as the MultiExit-DRL, which involves in a Deep Neural Network (DNN) framework to facilitate state-to-action  ...  Conventional simulations on multi-exit indoor evacuation focus primarily on how to determine a reasonable exit based on numerous factors in a changing environment.  ...  Godoy et al. (2016) proposed a novel Coordinated Navigation (C-Nav), a distributed approach, to address the multi-agent navigation problem in complex environments.  ... 
arXiv:2007.05783v1 fatcat:e737rfkb3nffpdx3moit7g7shy

2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20

2019 IEEE transactions on intelligent transportation systems (Print)  
., Safikhani, A., Kamga, C., Hao, W., and Ma, J  ...  Goudarzi, F., +, TITS Feb. 2019 777-782 Games A Game Theoretic Approach for Privacy Preserving Model in IoT-Based Transportation.  ...  ., +, TITS May 2019 1803-1814 Game theory A Game Theoretic Approach for Privacy Preserving Model in IoT-Based Transportation.  ... 
doi:10.1109/tits.2020.2966388 fatcat:xkvww7uabzhlzgfz3yiecyb75y

Dynamic Models for Entity Trajectory Prediction Using Deep Learning

Dhanya Raghu
2018 Journal of Computers  
Human motion tracking and forecasting has posed multiple challenges due to its high dimensional interactions with the physical world.  ...  A growing requirement for co-robotic applications that place robots as partners with humans play a role in cooperative and tightly interactive tasks.  ...  We investigate deep learning techniques to forecast trajectories of entities belonging to various classes (pedestrians, bicyclists, skateboarders, carts).  ... 
doi:10.17706/jcp.13.9.1127-1135 fatcat:xrlitwkydvfvxm4f7uxnzp42iq

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
Power allocation provides an important approach to optimize the EE.  ...  In this article, a new approach for power allocation with EE optimization (EEO) is proposed in cellular D2D-based V2X communication networks.  ...  For reliable smart road signs, an adversarial intervention detection mechanism is presented under a game-theoretical solution concept.  ... 
doi:10.1109/tits.2020.3036973 fatcat:ar5tkatrynhkjm4iqjqgnsniry

SoutheastCon 2019 Author Index

2019 2019 SoutheastCon  
Akbas, Mustafa Abstract Simulation Scenario Generation for Autonomous Vehicle Verification -367 Akbas, Mustafa Bayne, Stephen Design,Development and Experimental setup of a PMU network for monitoring and  ...  anomaly detection -417 Beal, Aubrey A Nonlinear MEMS Resonator for Generating AC Voltages Without Electronics -95 Beal, Aubrey Driven ring oscillators as FPGA entropy sources -234 Beam, Christopher Bozinovska  ...  , Ayobami A Unified Approach to Design Compact Multi-Way Bagley Polygon Power Dividers -205 Imtiaz, Masudul Development of a Smart IoT Charger for Wearable Cigarette Smoking Monitor -104 Isenberg, Douglas  ... 
doi:10.1109/southeastcon42311.2019.9020629 fatcat:o76za6f7gzbtbhbsuzg6kogxne

Computational Challenges in Cooperative Intelligent Urban Transport (Dagstuhl Seminar 16091)

Caitlin Doyle Cottrill, Jan Fabian Ehmke, Frankziska Klügl, Sabine Timpf, Marc Herbstritt
2016 Dagstuhl Reports  
I will describe a crowdsourcing approach for the first, and a game theoretic approach for the second.  ...  We present an iterative solution approach: after calculating an approximate transport capacity based on forecasted expected delivery requests and a cost-minimizing routing, actual delivery requests are  ...  Fans approaching a stadium 6.  ... 
doi:10.4230/dagrep.6.2.119 dblp:journals/dagstuhl-reports/CottrillEKT16 fatcat:lphem3bjbrdrvpiusriejjeyzq

Virtual Immersive Reality for Stated Preference Travel Behavior Experiments: A Case Study of Autonomous Vehicles on Urban Roads

Bilal Farooq, Elisabetta Cherchi, Anae Sobhani
2018 Transportation Research Record  
We demonstrate the use of VIRE in the pedestrian preferences related to autonomous vehicles and associated infrastructure changes on urban streets of Montr\'eal.  ...  Stated preference experiments have been known to suffer from the lack of realism.  ...  Scenario Development (SD) System The theoretical experiment design is translated into a 3D scenario using Unity, an open-source gaming engine (34) .  ... 
doi:10.1177/0361198118776810 fatcat:twlhscxcqzfldcattdwh3tu6ci

Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets [article]

Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso
2019 arXiv   pre-print
Recent approaches on trajectory forecasting leverage short-term trajectories (aka tracklets) of pedestrians to predict their future paths.  ...  MX-LSTM predicts future pedestrians location and head pose, increasing the standard capabilities of the current approaches on long-term trajectory forecasting.  ...  The pioneering idea has been further developed by [52] , [55] and [60] , who have respectively introduced a data-driven, continuous and game theoretical model.  ... 
arXiv:1901.02000v2 fatcat:6on6vvsribdlbmw6cdvlpqvfhi

Attendee List

2020 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)  
Nikolaos Baras 270 A Game Theoretic Approach to Decision Making in Neuronal Networks Iraq Ahmed Alabdel Abass 284 Model for Cyber Security Information Sharing in Healthcare Sector Finland Jari  ...  Performance Analysis of a New Energy-Aware RPL Routing Objective Function for Internet of Things Oman Abderezak Touzene 29 A frequency-based approach for multi-class data classification problem  ... 
doi:10.1109/icecce49384.2020.9179198 fatcat:ryry4suqzrfh3ch2v3veh4z6ei
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