LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting

17 January 2021

Papers citing "LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting"

38 / 38 papers shown

Title
Future-Aware Interaction Network For Motion Forecasting Shijie Li Xun Xu S. Yeo Xulei Yang Mamba 176 0 0 09 Mar 2025
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding Mingkun Wang Xiaoguang Ren Ruochun Jin Minglong Li Xiaochuan Zhang Changqian Yu Mingxu Wang Wenjing Yang 40 1 0 20 Jun 2024
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving Yang Lou Yi Zhu Qun Song Rui Tan Chunming Qiao Wei-Bin Lee Jianping Wang AAML 41 2 0 17 Jun 2024
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions Daniel Grimm Maximilian Zipfl Felix Hertlein Alexander Naumann Jürgen Lüttin Steffen Thoma Stefan Schmid Lavdim Halilaj Achim Rettinger J. Marius Zöllner 25 3 0 30 Nov 2023
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks Keshu Wu Yang Zhou Haotian Shi Xiaopeng Li Bin Ran 24 14 0 05 Sep 2023
Tracing the Influence of Predecessors on Trajectory Prediction Mengmeng Liu Hao Cheng M. Yang 35 2 0 10 Aug 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 19 47 0 12 Jul 2023
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals Xishun Wang Tong Su Fang Da Xiaodong Yang 32 54 0 21 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 24 3 0 07 Mar 2023
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction Pei Xu J. Hayet Ioannis Karamouzas 24 16 0 21 Feb 2023
Exploring Navigation Maps for Learning-Based Motion Prediction Julian Schmidt Julian Jordan Franz Gritschneder T. Monninger Klaus C. J. Dietmayer 25 3 0 13 Feb 2023
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving Wenjie Luo C. Park Andre Cornman Benjamin Sapp Drago Anguelov 14 37 0 16 Dec 2022
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement Sehwa Choi Jungho Kim Ju-seok Yun Junwon Choi 21 18 0 16 Nov 2022
GANet: Goal Area Network for Motion Forecasting Mingkun Wang Xinge Zhu Changqian Yu W. Li Yuexin Ma Ruochun Jin Xiaoguang Ren Dongchun Ren Mingxu Wang Wenjing Yang 25 62 0 20 Sep 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Nigamaa Nayakanti Rami Al-Rfou Aurick Zhou Kratarth Goel Khaled S. Refaat Benjamin Sapp AI4TS 40 234 0 12 Jul 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting Bohan Tang Yiqi Zhong Chenxin Xu Wei Wu Ulrich Neumann Yanfeng Wang Ya-Qin Zhang Siheng Chen 34 9 0 11 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki SSL 34 55 0 28 Jun 2022
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss Sanmin Kim Hyeongseok Jeon Junwon Choi Dongsuk Kum 39 21 0 17 Jun 2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding Xiaosong Jia Peng Wu Li Chen Y. Liu Hongyang Li Junchi Yan 21 120 0 30 Apr 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints Maosheng Ye Jiamiao Xu Xun Xu Tengfei Wang Tongyi Cao Qifeng Chen 28 19 0 12 Apr 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction Fang Da Yu Zhang GNN 8 27 0 23 Feb 2022
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics Ke Sun Stephen M. Chaves Paul D. Martin Vijay R. Kumar GNN 35 1 0 21 Feb 2022
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention Julian Schmidt Julian Jordan Franz Gritschneder Klaus C. J. Dietmayer 20 47 0 09 Feb 2022
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan M. Tomizuka DRL 21 19 0 01 Dec 2021
Trajectory Prediction with Graph-based Dual-scale Context Fusion Lu Zhang Peiliang Li Jing Chen Shaojie Shen 21 28 0 02 Nov 2021
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving Jianbang Liu Xinyu Mao Yuqi Fang Delong Zhu M. Meng 19 57 0 20 Oct 2021
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 25 129 0 13 Oct 2021
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving Zhiyu Huang Xiaoyu Mo Chen Lv 25 113 0 14 Sep 2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 3DH 29 230 0 04 Sep 2021
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction Edoardo Mello Rella Jan-Nico Zaech Alexander Liniger Luc Van Gool AI4CE 19 14 0 12 Aug 2021
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals Nachiket Deo Eric M. Wolff Oscar Beijbom 22 163 0 28 Jun 2021
On complementing end-to-end human behavior predictors with planning Liting Sun Xiaogang Jia Anca Dragan 25 17 0 09 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 157 365 0 20 Jan 2021
What-If Motion Prediction for Autonomous Driving Siddhesh Khandelwal William Qi Jagjeet Singh Andrew Hartnett Deva Ramanan 114 115 0 24 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 149 155 0 23 Jul 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 174 211 0 18 Oct 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction Ajay Jain Sergio Casas Renjie Liao Yuwen Xiong Song Feng Sean Segal R. Urtasun 138 73 0 17 Oct 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 236 1,811 0 25 Nov 2016