Destination intention estimation-based convolutional encoder-decoder for pedestrian trajectory multimodality forecast-Reference-Cited by-同舟云学术

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Destination intention estimation-based convolutional encoder-decoder for pedestrian trajectory multimodality forecast

Published:2025-01 Issue: Volume:239 Page:115470
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Ruiping^ORCID,Lam Siew-Kei^ORCID,Wu Meiqing,Hu Zhijian,Wang Changshuo^ORCID,Wang Jing^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. An urban mobility index for evaluating and reducing private motorized trips;Moeinaddini;Measurement,2015

2. Enhancement of low-cost UAV-based photogrammetric point cloud using MMS point cloud and oblique images for 3D urban reconstruction;Lee;Measurement,2024

3. A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques;Gharghan;Measurement,2024

4. Optimized RNN-based performance prediction of IoT and WSN-oriented smart city application using improved honey badger algorithm;Asha;Measurement,2023

5. Vision-aided self-calibration of a wireless propagation model for crowdsourcing-based indoor localization;He;Measurement,2022

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