Learning-enabled multi-modal motion prediction in urban environments-Reference-Cited by-同舟云学术

Learning-enabled multi-modal motion prediction in urban environments

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Trentin Vinicius¹,Ma Chenxu²,Villagra Jorge¹,Al-Ars Zaid²

Affiliation:

1. CSIC - Universidad Politécnica de Madrid,Center for Automation and Robotics,Arganda del Rey,Spain

2. TU Delft,Computer Engineering Lab,Delft,The Netherlands

Funder

European Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186684.pdf?arnumber=10186684

Reference24 articles.

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2. INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps;zhan;arXiv 1910 03088 [cs eess],2019

3. Lanelets: Efficient map representation for autonomous driving

4. The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections

5. Reachability analysis and its application to the safety assessment of autonomous cars;althoff;Dissertation Technische Universität München,2010

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1. GPU-Accelerated Interaction-Aware Motion Prediction;Electronics;2023-09-05

2. $IA(MP)^{2}$: Framework for Online Motion Planning Using Interaction-Aware Motion Predictions in Complex Driving Situations;IEEE Transactions on Intelligent Vehicles;2023