Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction-Reference-Cited by-同舟云学术

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Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction

Published:2023-09-24 Issue: Volume:164 Page:1269-1276
ISSN:
Container-title:2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

de Almeida Tiago Rodrigues¹,Mozos Oscar Martinez¹

Affiliation:

1. Center for Applied Autonomous Sensor Systems (AASS), Örebro University,Örebro,Sweden

Funder

Knut and Alice Wallenberg Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422479.pdf?arnumber=10422479

Reference42 articles.

1. Graph Construction for Traffic Prediction: A Data-Driven Approach

2. Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

3. Graph Neural Network with RNNs based trajectory prediction of dynamic agents for autonomous vehicle

4. Data Driven Service Orchestration for Vehicular Networks

5. Prediction-Uncertainty-Aware Threat Detection for ADAS: A Case Study on Lane-Keeping Assistance

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