SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for
Autonomous Driving

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

4 February 2024

Shaojie Shen

Papers citing "SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving"

7 / 7 papers shown

Title
Future-Aware Interaction Network For Motion Forecasting Shijie Li Xun Xu S. Yeo Xulei Yang Mamba 187 0 0 09 Mar 2025
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving Wenke E Chao Yuan Li Li Yixin Sun Yona Falinie A. Gaus Amir Atapour-Abarghouei T. Breckon 34 0 0 02 Mar 2025
Snapshot: Towards Application-centered Models for Pedestrian Trajectory Prediction in Urban Traffic Environments Nico Uhlemann Yipeng Zhou Tobias Mohr Markus Lienkamp 65 1 0 10 Jan 2025
Spatio-temporal Motion Planning for Autonomous Vehicles with Trapezoidal Prism Corridors and Bézier Curves Srujan Deolasee Qin Lin Jialun Li John M. Dolan 32 14 0 30 Sep 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki SSL 39 55 0 28 Jun 2022
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 152 155 0 23 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016