A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches

Research article (2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019) · cited 25× · AI/ML
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A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches

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A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-survey-on-path-prediction-techniques-for-vulnerable-road-users-from-traditional-to-deep-learning-approaches
MLA “A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-survey-on-path-prediction-techniques-for-vulnerable-road-users-from-traditional-to-deep-learning-approaches.
BibTeX @misc{4ortxyz_a-survey-on-path-prediction-techniques-for-vulnerable-road-users-from-traditional-to-deep-learning-approaches_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches}}, year = {2026}, url = {https://4ort.xyz/entity/a-survey-on-path-prediction-techniques-for-vulnerable-road-users-from-traditional-to-deep-learning-approaches}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches — https://4ort.xyz/entity/a-survey-on-path-prediction-techniques-for-vulnerable-road-users-from-traditional-to-deep-learning-approaches (retrieved 2026-05-24)

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