LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting

17 January 2021

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

22 / 22 papers shown

Title
Future-Aware Interaction Network For Motion Forecasting Shijie Li Xun Xu S. Yeo Xulei Yang Mamba 88 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 35 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 26 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 20 3 0 30 Nov 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 8 46 0 12 Jul 2023
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals Xishun Wang Tong Su Fang Da Xiaodong Yang 16 53 0 21 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 14 3 0 07 Mar 2023
Exploring Navigation Maps for Learning-Based Motion Prediction Julian Schmidt Julian Jordan Franz Gritschneder T. Monninger Klaus C. J. Dietmayer 14 3 0 13 Feb 2023
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Nigamaa Nayakanti Rami Al-Rfou Aurick Zhou Kratarth Goel Khaled S. Refaat Benjamin Sapp AI4TS 23 233 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 28 9 0 11 Jul 2022
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss Sanmin Kim Hyeongseok Jeon Junwon Choi Dongsuk Kum 24 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 16 120 0 30 Apr 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints Maosheng Ye Jiamiao Xu Xun Xu Tengfei Wang Tongyi Cao Qifeng Chen 25 19 0 12 Apr 2022
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling Chen Tang Wei Zhan M. Tomizuka DRL 6 19 0 01 Dec 2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation Thomas Gilles S. Sabatini D. Tsishkou B. Stanciulescu Fabien Moutarde 3DH 22 228 0 04 Sep 2021
On complementing end-to-end human behavior predictors with planning Liting Sun Xiaogang Jia Anca Dragan 17 17 0 09 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 152 362 0 20 Jan 2021
What-If Motion Prediction for Autonomous Driving Siddhesh Khandelwal William Qi Jagjeet Singh Andrew Hartnett Deva Ramanan 111 115 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 145 135 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 160 190 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 135 70 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 231 1,801 0 25 Nov 2016