Results 231 to 240 of about 59,983 (291)
A Survey of Data Augmentation Techniques for Traffic Visual Elements. [PDF]
Yang M +4 more
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Transformer-based human-motion forecasting coupled with safe reinforcement learning for telepresence robot co-navigation. [PDF]
Mohamed HG +4 more
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Enhanced pedestrian walkway object detection using deep learning and pelican optimization algorithm for assisting disabled persons. [PDF]
Alrowais F, Almofarreh M, Marzouk R.
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A Nonlinear Transform-Based Variability Index CFAR Detector for Doppler-Extended Targets. [PDF]
Cao L, He Y, Zhao Z, Fu C, Wang D.
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Enhancing Airport Traffic Flow: Intelligent System Based on VLC, Rerouting Techniques, and Adaptive Reward Learning. [PDF]
Vieira M +6 more
europepmc +1 more source
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Fitting behaviors to pedestrian simulations
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2009In this paper we present a data-driven approach for fitting behaviors to simulated pedestrian crowds. Our method annotates agent trajectories, generated by any crowd simulator, with action-tags. The aggregate effect of animating the agents according to the tagged trajectories enhances the impression that the agents are interacting with one another and ...
Lerner, A. +7 more
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Investigation on Misclassification of Pedestrians as Poles by Simulation
2021 IEEE Intelligent Vehicles Symposium (IV), 2021High-precision self-localization is one of the most important capabilities of automated vehicles. Not only accuracy but also localization robustness are crucial for self-driving vehicles in urban environments. The localization robustness decreases by misclassifications of landmarks and therefore false matches between dynamic objects and static ...
Christian Rudolf Albrecht +4 more
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Modelling and Simulation of Pedestrian Behaviours
2008 22nd Workshop on Principles of Advanced and Distributed Simulation, 2008The modelling and simulation of autonomous pedestrians has important applications in real-time crowd and crisis simulations. With the increase in processing powers and dedicated graphics cards, more processing powers can now be allocated for the generation of realistic behaviours for individuals within the crowd.
Wee Lit Koh, Lin Lin, Suiping Zhou
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