Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks

26 July 2018

Papers citing "Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks"

22 / 22 papers shown

Title
DyTTP: Trajectory Prediction with Normalization-Free Transformers Yunxiang Liu Hongkuo Niu 43 0 0 07 Apr 2025
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf Region Nadya Abdel Madjid Murad Mebrahtu Abdelmoamen Nasser Bilal Hassan Naoufel Werghi Jorge Dias Majid Khonji 105 0 0 26 Feb 2025
Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity with Interpretability Shuli Wang Kun Gao Lanfang Zhang Yang Liu Lei Chen 41 4 0 19 Dec 2023
A low-cost Framework for Decentralized Autonomous Intersection Management Rugved Katole Arpita Sinha 27 0 0 29 Nov 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 31 47 0 12 Jul 2023
Multi-Agent Deep Reinforcement Learning for Dynamic Avatar Migration in AIoT-enabled Vehicular Metaverses with Trajectory Prediction Junlong Chen Jiawen Kang Minrui Xu Zehui Xiong Dusit Niyato Chuang Chen Abbas Jamalipour Shengli Xie 19 30 0 26 Jun 2023
Topological Trajectory Prediction with Homotopy Classes Jennifer Wakulicz Ki Myung Brian Lee Teresa Vidal-Calleja Robert Fitch 19 3 0 24 Jan 2023
Visual Area of Interests based Multimodal Trajectory Prediction for Probabilistic Risk Assessment Qiang Zhang Lingfang Yang Xiaoliang Zhang Xiaolin Song Zhi Huang 16 0 0 06 Dec 2022
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field Saúl Alonso-Monsalve D. Sgalaberna Xingyu Zhao C. Mcgrew A. Rubbia 19 4 0 09 Nov 2022
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning Jayabrata Chowdhury Suresh Sundaram Nishanth Rao N. Sundararajan 21 2 0 20 May 2022
Transferable and Adaptable Driving Behavior Prediction Letian Wang Yeping Hu Liting Sun Wei Zhan Masayoshi Tomizuka Changliu Liu 42 25 0 10 Feb 2022
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction Yeping Hu Xiaogang Jia Masayoshi Tomizuka Wei Zhan OOD 40 25 0 03 Dec 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay Peng Bao Zonghai Chen Ji-kai Wang Deyun Dai Hao Zhao 38 9 0 15 Nov 2021
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction Francesco Marchetti Federico Becattini Lorenzo Seidenari A. Bimbo 23 117 0 05 Jun 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan Masayoshi Tomizuka 26 36 0 07 Apr 2020
Path Planning in Dynamic Environments using Generative RNNs and Monte Carlo Tree Search Stuart Eiffert He Kong Navid Pirmarzdashti Salah Sukkarieh 31 31 0 30 Jan 2020
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans Nachiket Deo Mohan M. Trivedi 24 149 0 03 Jan 2020
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review Sajjad Mozaffari Omar Y. Al-Jarrah M. Dianati P. Jennings A. Mouzakitis 24 136 0 25 Dec 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain Sergio Casas Renjie Liao Yuwen Xiong Song Feng Sean Segal R. Urtasun 156 73 0 17 Oct 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey Chih-Hong Cheng Dhiraj Gulati Rongjie Yan 27 4 0 27 Feb 2019
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping Tom Bruls Horia Porav Lars Kunze Paul Newman 24 37 0 03 Dec 2018
A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters Wenhao Ding Wenshuo Wang Ding Zhao 30 13 0 15 Sep 2018