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Learning to Predict Vehicle Trajectories with Model-based Planning

Learning to Predict Vehicle Trajectories with Model-based Planning

6 March 2021
Haoran Song
Di Luan
Wenchao Ding
M. Y. Wang
Qifeng Chen
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Papers citing "Learning to Predict Vehicle Trajectories with Model-based Planning"

26 / 26 papers shown
Title
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
A survey on robustness in trajectory prediction for autonomous vehicles
A survey on robustness in trajectory prediction for autonomous vehicles
Jeroen Hagenus
Frederik Baymler Mathiesen
J. Schumann
Arkady Zgonnikov
35
3
0
02 Feb 2024
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory
  Prediction using Diffusion Graph Convolutional Networks
Graph-Based Interaction-Aware Multimodal 2D Vehicle Trajectory Prediction using Diffusion Graph Convolutional Networks
Keshu Wu
Yang Zhou
Haotian Shi
Xiaopeng Li
Bin Ran
26
14
0
05 Sep 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A
  comprehensive survey, Challenges, and Future Research Directions
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions
Vibha Bharilya
Neetesh Kumar
31
47
0
12 Jul 2023
Multi-Predictor Fusion: Combining Learning-based and Rule-based
  Trajectory Predictors
Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors
Sushant Veer
Apoorva Sharma
Marco Pavone
26
4
0
03 Jul 2023
ProphNet: Efficient Agent-Centric Motion Forecasting with
  Anchor-Informed Proposals
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
Xishun Wang
Tong Su
Fang Da
Xiaodong Yang
32
54
0
21 Mar 2023
Dynamic Scenario Representation Learning for Motion Forecasting with
  Heterogeneous Graph Convolutional Recurrent Networks
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks
Xing Gao
Xiaogang Jia
Yikang Li
H. Xiong
25
32
0
08 Mar 2023
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based
  Trajectory Refinement
R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement
Sehwa Choi
Jungho Kim
Ju-seok Yun
Junwon Choi
26
18
0
16 Nov 2022
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling
Q. Sun
Xin Huang
B. Williams
Hang Zhao
35
36
0
26 Oct 2022
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles
  with Vectorized Representation
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation
Ding Li
Qichao Zhang
Shuai Lu
Yifeng Pan
Dongbin Zhao
23
5
0
19 Oct 2022
Exploiting map information for self-supervised learning in motion
  forecasting
Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo
Thomas Gilles
S. Sabatini
D. Tsishkou
SSL
49
9
0
10 Oct 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Chenxin Xu
Wei Wu
Ulrich Neumann
Yanfeng Wang
Ya-Qin Zhang
Siheng Chen
36
9
0
11 Jul 2022
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous
  Driving
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Prarthana Bhattacharyya
Chengjie Huang
Krzysztof Czarnecki
SSL
42
55
0
28 Jun 2022
MPA: MultiPath++ Based Architecture for Motion Prediction
MPA: MultiPath++ Based Architecture for Motion Prediction
S. Konev
19
14
0
20 Jun 2022
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction
  Network Trained with Lane Loss
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss
Sanmin Kim
Hyeongseok Jeon
Junwon Choi
Dongsuk Kum
44
21
0
17 Jun 2022
Bootstrap Motion Forecasting With Self-Consistent Constraints
Bootstrap Motion Forecasting With Self-Consistent Constraints
Maosheng Ye
Jiamiao Xu
Xun Xu
Tengfei Wang
Tongyi Cao
Qifeng Chen
33
19
0
12 Apr 2022
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and
  Feasible Agent Behaviors for Autonomous Driving
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving
Qichao Zhang
Yinfeng Gao
Yikang Zhang
Youtian Guo
Dawei Ding
Yunpeng Wang
Peng Sun
Dongbin Zhao
22
34
0
31 Mar 2022
M2I: From Factored Marginal Trajectory Prediction to Interactive
  Prediction
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction
Q. Sun
Xin Huang
Junru Gu
B. Williams
Hang Zhao
18
105
0
24 Feb 2022
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Lu Zhang
Peiliang Li
Jing Chen
Shaojie Shen
28
28
0
02 Nov 2021
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction
  in Autonomous Driving
A Survey on Deep-Learning Approaches for Vehicle Trajectory Prediction in Autonomous Driving
Jianbang Liu
Xinyu Mao
Yuqi Fang
Delong Zhu
Max Q.-H. Meng
27
57
0
20 Oct 2021
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
25
129
0
13 Oct 2021
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
  Adaptive Sampling
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Xin Huang
Guy Rosman
Igor Gilitschenski
A. Jasour
Stephen G. McGill
J. Leonard
B. Williams
23
26
0
05 Oct 2021
Multi-modal Motion Prediction with Transformer-based Neural Network for
  Autonomous Driving
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
Zhiyu Huang
Xiaoyu Mo
Chen Lv
33
113
0
14 Sep 2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
3DH
29
230
0
04 Sep 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
163
365
0
20 Jan 2021
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
161
155
0
23 Jul 2020
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