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WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting

7 April 2023
K. Chen
Runzhou Ge
Hang Qiu
Rami Ai-Rfou
C. Qi
Xuanyu Zhou
Zoey Yang
Scott Ettinger
Pei Sun
Zhaoqi Leng
Mustafa A. Mustafa
Ivan Bogun
Weiyue Wang
Mingxing Tan
Drago Anguelov
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Papers citing "WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting"

23 / 23 papers shown
Title
Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset
Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset
Oussema Dhaouadi
Johannes Meier
Luca Wahl
Jacques Kaiser
Luca Scalerandi
Nick Wandelburg
Zhuolun Zhou
Nijanthan Berinpanathan
Holger Banzhaf
Daniel Cremers
39
1
0
24 Apr 2025
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
Wei-Jer Chang
W. Zhan
M. Tomizuka
Manmohan Chandraker
Francesco Pittaluga
23
0
0
15 Apr 2025
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Sorin Grigorescu
Mihai V. Zaha
AI4CE
31
0
0
02 Apr 2025
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Model
Bo-Kai Ruan
Hao-Tang Tsui
Yung-Hui Li
Hong-Han Shuai
LM&Ro
76
4
0
20 Feb 2025
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
Boqi Li
Haojie Zhu
Henry X. Liu
59
0
0
26 Nov 2024
EMMA: End-to-End Multimodal Model for Autonomous Driving
EMMA: End-to-End Multimodal Model for Autonomous Driving
Jyh-Jing Hwang
Runsheng Xu
Hubert Lin
Wei-Chih Hung
Jingwei Ji
...
Benjamin Sapp
Yin Zhou
James Guo
Dragomir Anguelov
Mingxing Tan
VLM
LM&Ro
36
28
0
30 Oct 2024
LiMTR: Time Series Motion Prediction for Diverse Road Users through
  Multimodal Feature Integration
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration
Camiel Oerlemans
Bram Grooten
Michiel Braat
Alaa Alassi
Emilia Silvas
D. Mocanu
19
0
0
21 Oct 2024
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds
  From Heterogeneous LiDAR Sensors
HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors
Hyungtae Lim
Seoyeon Jang
Benedikt Mersch
Jens Behley
Hyun Myung
Cyrill Stachniss
23
6
0
12 Aug 2024
Solving Motion Planning Tasks with a Scalable Generative Model
Solving Motion Planning Tasks with a Scalable Generative Model
Yihan Hu
Siqi Chai
Zhening Yang
Jingyu Qian
Kun Li
Wenxin Shao
Haichao Zhang
Wei-ping Xu
Qiang Liu
36
17
0
03 Jul 2024
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in
  Traffic
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic
L. Zheng
Sanghyun Son
Jing Liang
Xijun Wang
Brian Clipp
Ming-Chyuan Lin
35
0
0
03 Jun 2024
Language-Driven Interactive Traffic Trajectory Generation
Language-Driven Interactive Traffic Trajectory Generation
Junkai Xia
Chenxin Xu
Qingyao Xu
Chen Xie
Yanfeng Wang
Siheng Chen
27
4
0
24 May 2024
MoST: Multi-modality Scene Tokenization for Motion Prediction
MoST: Multi-modality Scene Tokenization for Motion Prediction
Norman Mu
Jingwei Ji
Zhenpei Yang
Nate Harada
Haotian Tang
...
Zoey Yang
Scott Ettinger
Rami Al-Rfou
Drago Anguelov
Yin Zhou
28
6
0
30 Apr 2024
A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon
  Control
A Parameter Privacy-Preserving Strategy for Mixed-Autonomy Platoon Control
Jingyuan Zhou
Kaidi Yang
15
5
0
28 Jan 2024
SwapTransformer: highway overtaking tactical planner model via imitation
  learning on OSHA dataset
SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset
Alireza Shamsoshoara
Safin B Salih
Pedram Aghazadeh
ViT
OffRL
26
2
0
02 Jan 2024
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
Yi Gan
Hao Xiao
Yizhe Zhao
Ethan Zhang
Zhe Huang
Xin Ye
Lingting Ge
18
15
0
05 Dec 2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by
  Offline Demonstration
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li
Xinyi Liu
Banghua Zhu
Jiantao Jiao
M. Tomizuka
Chen Tang
Wei Zhan
OffRL
OnRL
58
9
0
18 Sep 2023
Learning Driver Models for Automated Vehicles via Knowledge Sharing and
  Personalization
Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization
Wissam Kontar
Xinzhi Zhong
Soyoung Ahn
17
0
0
31 Aug 2023
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
Mariah L. Schrum
Emily S. Sumner
Matthew C. Gombolay
A. Best
8
18
0
20 Jan 2023
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
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
Identifying Driver Interactions via Conditional Behavior Prediction
Identifying Driver Interactions via Conditional Behavior Prediction
Ekaterina V. Tolstaya
R. Mahjourian
Carlton Downey
Balakrishnan Varadarajan
Benjamin Sapp
Drago Anguelov
115
71
0
20 Apr 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
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
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
114
115
0
24 Aug 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
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
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