Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs

28 October 2022

Papers citing "Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs"

7 / 7 papers shown

Title
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 129 528 0 20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 152 362 0 20 Jan 2021
Video action recognition for lane-change classification and prediction of surrounding vehicles Mahdi Biparva David Fernández-Llorca Rubén Izquierdo-Gonzalo John K. Tsotsos 26 46 0 13 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 147 155 0 23 Jul 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 128 117 0 06 Mar 2020
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data Sergio Casas Cole Gulino Renjie Liao R. Urtasun AI4CE 160 211 0 18 Oct 2019