The Foreseeable Future: Self-Supervised Learning to Predict Dynamic
Scenes for Indoor Navigation

The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation

26 August 2022

Jian Zhang

Timothy D. Barfoot

Papers citing "The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation"

5 / 5 papers shown

Title
DR-MPC: Deep Residual Model Predictive Control for Real-world Social Navigation James R. Han Hugues Thomas Jian Zhang Nicholas Rhinehart T. Barfoot 61 1 0 17 Feb 2025
Intent Prediction-Driven Model Predictive Control for UAV Planning and Navigation in Dynamic Environments Zhefan Xu Hanyu Jin Xinming Han Haoyu Shen Kenji Shimada 43 2 0 24 Sep 2024
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 152 365 0 20 Jan 2021
Attention Augmented ConvLSTM for Environment Prediction Bernard Lange Masha Itkina Mykel J. Kochenderfer 65 21 0 19 Oct 2020
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