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Predicting the future occupancy state of an environment is important to enable informed decisions for autonomous vehicles.
“Using occupancy grids for mobile robot perception and navigation”
A. Elfes · 1989
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“An evidential approach to probabilistic map-building”
Daniel Pagac, Eduardo. Nebot and Hugh Durrant-Whyte · 1996
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“Decision making in a context where uncertainty is represented by belief functions”
Philippe Smets · 2002
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“Merging Occupancy Grid Maps From Multiple Robots”
A. Birk and S. Carpin · 2006
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“A Generalization of Bayesian Inference”
A.. Dempster · 2008
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“Two-Stream Convolutional Networks for Action Recognition in Videos”
Karen Simonyan and Andrew Zisserman · 2014
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“Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting”
Xingjian Shi et al · 2015
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“Adam: A method for stochastic optimization”
Diederik Kingma and Jimmy Ba · 2015
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“Spatio-temporal Hilbert maps for continuous occupancy representation in dynamic environments”
Ransalu Senanayake, Lionel Ott, Simon O’Callaghan and Fabio Ramos · 2016
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“Robust moving objects detection in LiDAR data exploiting visual cues”
Gheorghii Postica, Andrea Romanoni and Matteo Matteucci · 2016
Cited alongside, same era.
“Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning”
William Lotter, G. Kreiman and D. Cox · 2017
Cited alongside, same era.
“A random finite set approach for dynamic occupancy grid maps with real-time application”
Dominik Nuss et al · 2018
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“PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning”
“Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks”
Nima Mohajerin and Mohsen Rohani · 2019
Later among the works it cites.
“Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics”
Yunbo Wang et al · 2019
Later among the works it cites.
“Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments”
Vitor Guizilini, Ransalu Senanayake and Fabio Ramos · 2019
Later among the works it cites.
“Scalability in Perception for Autonomous Driving: Waymo Open Dataset”
Pei Sun et al · 2020
Closest in time.
“Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact”
Ruimin Ke, Wan Li, Zhiyong Cui and Yinhai Wang · 2020
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Yunbo Wang et al · 2018
Cited alongside, same era.
“Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks”
M. Schreiber, S. Hoermann and K. Dietmayer · 2019
Cited alongside, same era.
M. Itkina, K. Driggs-Campbell and M.. Kochenderfer · 2059
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