Utilizing Hybrid Trajectory Prediction Models to Recognize Highly
Interactive Traffic Scenarios

Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios

13 September 2023

Maximilian Zipfl

Sven Spickermann

J. Marius Zöllner

Papers citing "Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios"

6 / 6 papers shown

Title
Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment Maximilian Zipfl barbara Schutt J. Marius Zöllner Eric Sax 44 6 0 24 Nov 2022
Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art Lukas Westhofen Christian Neurohr Tjark Koopmann Martin Butz barbara Schutt F. Utesch Birte Neurohr Christian Gutenkunst Eckard Böde 39 96 0 05 Aug 2021
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 91 542 0 19 Aug 2020
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction Cunjun Yu Xiao Ma Jiawei Ren Haiyu Zhao Shuai Yi 48 466 0 18 May 2020
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs Nachiket Deo Mohan M. Trivedi 79 415 0 15 May 2018
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 84 987 0 14 Apr 2017

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