Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes

29 September 2019

Papers citing "Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes"

7 / 7 papers shown

Title
Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios Maximilian Zipfl Sven Spickermann J. Marius Zöllner 21 1 0 13 Sep 2023
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss Sanmin Kim Hyeongseok Jeon Junwon Choi Dongsuk Kum 44 21 0 17 Jun 2022
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving Jianbang Liu Xinyu Mao Yuqi Fang Delong Zhu Max Q.-H. Meng 27 57 0 20 Oct 2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents Byeoungdo Kim Seonghyeon Park S. Lee Elbek Khoshimjonov Dongsuk Kum Junsoo Kim Jeong Soo Kim J. Choi 14 104 0 01 Apr 2021
Map-Adaptive Goal-Based Trajectory Prediction Lingyao Zhang PoHao Su Jerrick Hoang G. C. Haynes Micol Marchetti-Bowick 30 54 0 09 Sep 2020
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points Yuexin Ma Xinge ZHU Xinjing Cheng Ruigang Yang Jiming Liu Tianyi Zhou 3DPC 26 12 0 11 Jul 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 280 1,400 0 01 Dec 2016