ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.17770
  4. Cited By
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and
  Guided Intention Querying

MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying

30 June 2023
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
ArXivPDFHTML

Papers citing "MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying"

50 / 83 papers shown
Title
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving
Lei Wan
Prabesh Gupta
Andreas Eich
Marcel Kettelgerdes
Hannan Ejaz Keen
Michael Klöppel-Gersdorf
Alexey Vinel
33
0
0
11 May 2025
Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
Ahmed Abouelazm
Mianzhi Liu
Christian Hubschneider
Yin Wu
Daniel Slieter
J. M. Zöllner
34
0
0
10 May 2025
Towards Latency-Aware 3D Streaming Perception for Autonomous Driving
Towards Latency-Aware 3D Streaming Perception for Autonomous Driving
Jiaqi Peng
Tai Wang
Jiangmiao Pang
Yuan Shen
47
0
0
27 Apr 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich
Zurab Mujirishvili
Knut Graichen
63
0
0
25 Apr 2025
Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Any Convex Parametric Shapes
Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Any Convex Parametric Shapes
Duy-Tho Le
Trung Pham
Jianfei Cai
H. Rezatofighi
29
0
0
23 Apr 2025
Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction
Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction
Tobias Demmler
Lennart Hartung
Andreas Tamke
Thao Dang
Alexander Hegai
Karsten Haug
Lars Mikelsons
31
0
0
22 Apr 2025
Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline
Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline
Hui Zhou
Shaoshuai Shi
Hongsheng Li
OffRL
32
0
0
20 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
Weidong Zhan
Masayoshi Tomizuka
Manmohan Chandraker
Francesco Pittaluga
33
0
0
15 Apr 2025
IMPACT: Behavioral Intention-aware Multimodal Trajectory Prediction with Adaptive Context Trimming
IMPACT: Behavioral Intention-aware Multimodal Trajectory Prediction with Adaptive Context Trimming
Jiawei Sun
Xibin Yue
Jiahui Li
Tianle Shen
Chengran Yuan
Shuo Sun
Sheng Guo
Quanyun Zhou
Marcelo H. Ang Jr
34
0
0
12 Apr 2025
Bandwidth Allocation for Cloud-Augmented Autonomous Driving
Bandwidth Allocation for Cloud-Augmented Autonomous Driving
Peter Schafhalter
Alexander Krentsel
Joseph E. Gonzalez
Sylvia Ratnasamy
S. Shenker
Ion Stoica
79
0
0
26 Mar 2025
Trajectory Mamba: Efficient Attention-Mamba Forecasting Model Based on Selective SSM
Yizhou Huang
Yihua Cheng
Kezhi Wang
Mamba
61
1
0
13 Mar 2025
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
Xiaosong Jia
Junqi You
Zhiyuan Zhang
Junchi Yan
46
6
0
07 Mar 2025
Quantifying and Modeling Driving Styles in Trajectory Forecasting
L. Zheng
Hamidreza Yaghoubi Araghi
Tony Wu
Sandeep Thalapanane
Dinesh Manocha
Ming C. Lin
45
0
0
06 Mar 2025
Conditional Prediction by Simulation for Automated Driving
Conditional Prediction by Simulation for Automated Driving
Fabian Konstantinidis
Moritz Sackmann
U. Hofmann
Christoph Stiller
85
0
0
05 Feb 2025
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting
Pengfei Zhu
Peng Shu
Mengshi Qi
Liang Liu
Huadong Ma
76
0
0
28 Jan 2025
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
Yue Yao
Shengchao Yan
Daniel Goehring
Wolfram Burgard
Joerg Reichardt
OODD
59
2
0
28 Jan 2025
To Predict or Not To Predict? Proportionally Masked Autoencoders for
  Tabular Data Imputation
To Predict or Not To Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
Jungkyu Kim
Kibok Lee
Taeyoung Park
49
0
0
26 Dec 2024
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation
Sanghyun Son
L. Zheng
Brian Clipp
Connor Greenwell
Sujin Philip
Ming-Chyuan Lin
85
0
0
21 Dec 2024
SceneDiffuser: Efficient and Controllable Driving Simulation
  Initialization and Rollout
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
C. Jiang
Yijing Bai
Andre Cornman
Christopher Davis
Xiukun Huang
...
Carlos Fuertes
Chang Yuan
Mingxing Tan
Yin Zhou
Dragomir Anguelov
82
14
0
05 Dec 2024
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
87
0
0
26 Nov 2024
C$^{2}$INet: Realizing Incremental Trajectory Prediction with
  Prior-Aware Continual Causal Intervention
C2^{2}2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention
Xiaohe Li
Feilong Huang
Zide Fan
Fangli Mou
Leilei Lin
Yingyan Hou
Lijie Wen
75
0
0
19 Nov 2024
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding
Xiaodong Liu
Yucheng Xing
Xin Wang
33
0
0
17 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
46
28
0
30 Oct 2024
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement
  Learning for Autonomous Driving
SoftCTRL: Soft conservative KL-control of Transformer Reinforcement Learning for Autonomous Driving
Minh Tri Huynh
Duc Dung Nguyen
OffRL
31
0
0
30 Oct 2024
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving
Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving
Alexander Krentsel
Peter Schafhalter
Joseph E. Gonzalez
Sylvia Ratnasamy
S. Shenker
Ion Stoica
23
0
0
21 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
Decebal Constantin Mocanu
34
0
0
21 Oct 2024
Navigation under uncertainty: Trajectory prediction and occlusion
  reasoning with switching dynamical systems
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems
Ran Wei
Joseph Lee
Shohei Wakayama
Alexander Tschantz
Conor Heins
...
Mahault Albarracin
Miguel de Prado
Petter Horling
Peter Winzell
Renjith Rajagopal
33
2
0
14 Oct 2024
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction
Yang Zhou
Hao Shao
Letian Wang
Steven Waslander
Hongsheng Li
Yu Liu
39
2
0
11 Oct 2024
Motion Forecasting in Continuous Driving
Motion Forecasting in Continuous Driving
Nan Song
Bozhou Zhang
Xiatian Zhu
Lefei Zhang
30
1
0
08 Oct 2024
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward
  Modeling and Reinforcement Learning Fine-tuning
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning
Zhiyu Huang
Xinshuo Weng
Maximilian Igl
Yuxiao Chen
Yulong Cao
Boris Ivanovic
Marco Pavone
Chen Lv
28
7
0
08 Oct 2024
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
Zhenghao Peng
Wenjie Luo
Yiren Lu
Tianyi Shen
Cole Gulino
Ari Seff
Justin Fu
26
6
0
26 Sep 2024
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous
  Driving
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
Haochen Liu
Li Chen
Yu Qiao
Chen Lv
Hongyang Li
33
4
0
26 Sep 2024
Controllable Traffic Simulation through LLM-Guided Hierarchical
  Chain-of-Thought Reasoning
Controllable Traffic Simulation through LLM-Guided Hierarchical Chain-of-Thought Reasoning
Zhiyuan Liu
Leheng Li
Yuning Wang
Haotian Lin
Zhizhe Liu
Lei He
Jianqiang Wang
LRM
34
2
0
23 Sep 2024
RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios
  even if You Only Look Once
RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios even if You Only Look Once
Jiawei Sun
Jiahui Li
Tingchen Liu
Chengran Yuan
Shuo Sun
Zefan Huang
Anthony Wong
K. P. Tee
Marcelo H. Ang Jr
46
2
0
18 Sep 2024
Motion Forecasting via Model-Based Risk Minimization
Motion Forecasting via Model-Based Risk Minimization
Aron Distelzweig
Eitan Kosman
Andreas Look
Faris Janjoš
Denesh K. Manivannan
Abhinav Valada
34
3
0
16 Sep 2024
Promptable Closed-loop Traffic Simulation
Promptable Closed-loop Traffic Simulation
Shuhan Tan
Boris Ivanovic
Yuxiao Chen
Boyi Li
Xinshuo Weng
Yulong Cao
Philipp Krahenbuhl
Marco Pavone
42
5
0
09 Sep 2024
DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving
  with Mamba
DRAMA: An Efficient End-to-end Motion Planner for Autonomous Driving with Mamba
Chengran Yuan
Zhanqi Zhang
Jiawei Sun
Shuo Sun
Zefan Huang
...
Dongen Li
Yuhang Han
Anthony Wong
K. P. Tee
Marcelo H. Ang Jr
Mamba
54
6
0
07 Aug 2024
Optimizing Diffusion Models for Joint Trajectory Prediction and
  Controllable Generation
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
Linhan Xia
Chen Tang
Lingfeng Sun
Simone Rossi
Yichen Xie
...
T. Hannagan
Stefano Sabatini
Nicola Poerio
Seon-Phil Jeong
Wei Zhan
27
5
0
01 Aug 2024
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion
  Forecasting Models
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Jifeng Wang
Kaouther Messaoud
Yuejiang Liu
Juergen Gall
Alexandre Alahi
42
0
0
28 Jul 2024
Gaussian Lane Keeping: A Robust Prediction Baseline
Gaussian Lane Keeping: A Robust Prediction Baseline
David Isele
Piyush Gupta
Xinyi Liu
Sangjae Bae
43
2
0
26 Jul 2024
RoadPainter: Points Are Ideal Navigators for Topology transformER
RoadPainter: Points Are Ideal Navigators for Topology transformER
Zhongxing Ma
Shuang Liang
Yongkun Wen
Weixin Lu
Guowei Wan
ViT
3DPC
33
6
0
22 Jul 2024
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
Qingfan Wang
Dongyang Xu
Gaoyuan Kuang
Chen Lv
Shengbo Eben Li
Bingbing Nie
32
2
0
18 Jul 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
48
17
0
03 Jul 2024
Model Predictive Simulation Using Structured Graphical Models and
  Transformers
Model Predictive Simulation Using Structured Graphical Models and Transformers
Xinghua Lou
Meet Dave
Shrinu Kushagra
Miguel Lazaro-Gredilla
Kevin Murphy
42
0
0
28 Jun 2024
FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field
  Prediction with Future Context Encoding
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
48
1
0
20 Jun 2024
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction
Huiqun Huang
Sihong He
Fei Miao
49
0
0
17 Jun 2024
Planning with Adaptive World Models for Autonomous Driving
Planning with Adaptive World Models for Autonomous Driving
Arun Balajee Vasudevan
Neehar Peri
Jeff Schneider
Deva Ramanan
87
3
0
15 Jun 2024
CIMRL: Combining IMitation and Reinforcement Learning for Safe
  Autonomous Driving
CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving
Jonathan Booher
Khashayar Rohanimanesh
Junhong Xu
Vladislav Isenbaev
Ashwin Balakrishna
Ishan Gupta
Wei Liu
Aleksandr Petiushko
OffRL
34
7
0
13 Jun 2024
iMotion-LLM: Motion Prediction Instruction Tuning
iMotion-LLM: Motion Prediction Instruction Tuning
Abdulwahab Felemban
Eslam Mohamed Bakr
Xiaoqian Shen
Jian Ding
Abduallah A. Mohamed
Mohamed Elhoseiny
60
1
0
10 Jun 2024
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with
  Next-Patch Prediction
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
Zikang Zhou
Haibo Hu
Xinhong Chen
Jianping Wang
Nan Guan
Kui Wu
Yung-Hui Li
Yu-Kai Huang
Chun Jason Xue
AI4CE
44
18
0
27 May 2024
12
Next