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Motion Transformer with Global Intention Localization and Local Movement
  Refinement

Motion Transformer with Global Intention Localization and Local Movement Refinement

27 September 2022
Shaoshuai Shi
Li Jiang
Dengxin Dai
Bernt Schiele
ArXivPDFHTML

Papers citing "Motion Transformer with Global Intention Localization and Local Movement Refinement"

50 / 154 papers shown
Title
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
Marius Baden
Ahmed Abouelazm
Christian Hubschneider
Yin Wu
Daniel Slieter
J. M. Zöllner
26
0
0
10 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
29
0
0
10 May 2025
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion
Jiawei Wang
Xintao Yan
Yao Mu
Haowei Sun
Zhong Cao
Henry X. Liu
131
0
0
06 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
44
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
54
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
24
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
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas
Christian Schlauch
Adrian Paschke
Christian Wirth
Nadja Klein
40
0
0
17 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
76
0
0
26 Mar 2025
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
Haoyu Fu
Diankun Zhang
Zongchuang Zhao
Jianfeng Cui
Dingkang Liang
Chong Zhang
Dingyuan Zhang
Hongwei Xie
Bing Wang
Xiang Bai
38
2
0
25 Mar 2025
CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction
CDKFormer: Contextual Deviation Knowledge-Based Transformer for Long-Tail Trajectory Prediction
Yuansheng Lian
Ke Zhang
Meng Li
55
0
0
16 Mar 2025
Post-interactive Multimodal Trajectory Prediction for Autonomous Driving
Ziyi Huang
Y. Li
D. Li
Yao Mu
Hongmao Qin
Nan Zheng
70
0
0
12 Mar 2025
Future-Aware Interaction Network For Motion Forecasting
Shijie Li
Xun Xu
S. Yeo
Xulei Yang
Mamba
184
0
0
09 Mar 2025
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions
Zherui Huang
Xing Gao
Guanjie Zheng
Licheng Wen
Xuemeng Yang
X. Sun
AAML
49
0
0
07 Mar 2025
Quantifying and Modeling Driving Styles in Trajectory Forecasting
L. Zheng
Hamidreza Yaghoubi Araghi
Tony Wu
Sandeep Thalapanane
Tianyi Zhou
Ming C. Lin
40
0
0
06 Mar 2025
Delayed-Decision Motion Planning in the Presence of Multiple Predictions
Delayed-Decision Motion Planning in the Presence of Multiple Predictions
David Isele
Alexandre Miranda Añon
Faizan M. Tariq
Goro Yeh
Avinash Singh
Sangjae Bae
41
0
0
28 Feb 2025
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
Dongkun Zhang
Jiaming Liang
Ke Guo
Sha Lu
Qi Wang
R. Xiong
Zhenwei Miao
Yue Wang
65
1
0
27 Feb 2025
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances
Yaozu Wu
Dongyuan Li
Yankai Chen
Renhe Jiang
Henry Peng Zou
Liancheng Fang
Zhen Wang
Philip S. Yu
LLMAG
70
2
0
24 Feb 2025
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting
Pengfei Zhu
Peng Shu
Mengshi Qi
Liang Liu
Huadong Ma
71
0
0
28 Jan 2025
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
74
0
0
21 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
73
0
0
26 Nov 2024
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding
Xiaodong Liu
Yucheng Xing
Xin Wang
26
0
0
17 Nov 2024
SPARTAN: A Sparse Transformer Learning Local Causation
SPARTAN: A Sparse Transformer Learning Local Causation
Anson Lei
Bernhard Schölkopf
Ingmar Posner
32
2
0
11 Nov 2024
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous Driving
Clémence Grislain
Risto Vuorio
Cong Lu
Shimon Whiteson
34
1
0
07 Nov 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
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in
  Autonomous Driving
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving
Liu Yunhao
Ding Hong
Zhang Ziming
Wang Huixin
Liu Jinzhao
Xi Suyang
AI4CE
28
0
0
25 Oct 2024
Multi-modal Motion Prediction using Temporal Ensembling with
  Learning-based Aggregation
Multi-modal Motion Prediction using Temporal Ensembling with Learning-based Aggregation
Kai-Yin Hong
C. Wang
Wen-Chieh Lin
28
1
0
25 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
D. Mocanu
29
0
0
21 Oct 2024
Generalizing Motion Planners with Mixture of Experts for Autonomous
  Driving
Generalizing Motion Planners with Mixture of Experts for Autonomous Driving
Q. Sun
Huimin Wang
Jiahao Zhan
Fan Nie
Xin Wen
Leimeng Xu
Kun Zhan
Peng Jia
Xianpeng Lang
Hang Zhao
77
6
0
21 Oct 2024
Motion Forecasting in Continuous Driving
Motion Forecasting in Continuous Driving
Nan Song
Bozhou Zhang
Xiatian Zhu
L. Zhang
25
1
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
3
0
26 Sep 2024
Data-driven Probabilistic Trajectory Learning with High Temporal
  Resolution in Terminal Airspace
Data-driven Probabilistic Trajectory Learning with High Temporal Resolution in Terminal Airspace
Jun Xiang
Jun Chen
21
1
0
25 Sep 2024
Efficient Motion Prediction: A Lightweight & Accurate Trajectory
  Prediction Model With Fast Training and Inference Speed
Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed
Alexander Prutsch
Horst Bischof
Horst Possegger
34
2
0
24 Sep 2024
Learning Multiple Probabilistic Decisions from Latent World Model in
  Autonomous Driving
Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
Lingyu Xiao
Jiang-Jiang Liu
Sen Yang
Xiaofan Li
Xiaoqing Ye
Wankou Yang
Jingdong Wang
34
0
0
24 Sep 2024
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving
Ehsan Ahmadi
Ray Coden Mercurius
Soheil Alizadeh
K. Rezaee
Amir Rasouli
AAML
41
0
0
23 Sep 2024
Robots that Learn to Safely Influence via Prediction-Informed
  Reach-Avoid Dynamic Games
Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games
Ravi Pandya
Changliu Liu
Andrea V. Bajcsy
33
1
0
18 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
33
2
0
18 Sep 2024
Annealed Winner-Takes-All for Motion Forecasting
Annealed Winner-Takes-All for Motion Forecasting
Yihong Xu
Victor Letzelter
Mickaël Chen
Éloi Zablocki
Matthieu Cord
128
1
0
17 Sep 2024
Realistic Extreme Behavior Generation for Improved AV Testing
Realistic Extreme Behavior Generation for Improved AV Testing
Robert Dyro
Matthew Foutter
Ruolin Li
L. D. Lillo
Edward Schmerling
Xilin Zhou
Marco Pavone
AAML
33
1
0
16 Sep 2024
Maneuver Decision-Making with Trajectory Streams Prediction for
  Autonomous Vehicles
Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous Vehicles
M. Jamal
Aleksandr Panov
25
0
0
16 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
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
Asen Nachkov
Danda Pani Paudel
Luc Van Gool
27
0
0
12 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
38
6
0
07 Aug 2024
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
SceneMotion: From Agent-Centric Embeddings to Scene-Wide Forecasts
Mingshuo Liu
Shiyi Luo
Marlon Steiner
Fabian Konstantinidis
Hendrik Konigshof
Marvin Klemp
Carlos Fernandez
Christoph Stiller
44
2
0
02 Aug 2024
Channel-Partitioned Windowed Attention And Frequency Learning for Single
  Image Super-Resolution
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
Dinh Phu Tran
Dao Duy Hung
Daeyoung Kim
SupR
35
0
0
23 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
30
1
0
18 Jul 2024
Adaptive Prediction Ensemble: Improving Out-of-Distribution
  Generalization of Motion Forecasting
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
Jinning Li
Jiachen Li
Sangjae Bae
David Isele
39
4
0
12 Jul 2024
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