Trajectory Prediction Model

Trajectory prediction models aim to forecast the future movements of agents (e.g., vehicles, pedestrians) in dynamic environments, primarily to enhance safety and efficiency in autonomous systems. Current research emphasizes improving model robustness and generalization across diverse scenarios, often employing deep learning architectures like transformers and graph convolutional networks, along with techniques such as multimodal learning and uncertainty quantification. These advancements are crucial for reliable autonomous navigation, human-robot interaction, and traffic simulation, impacting both the development of safer autonomous vehicles and a deeper understanding of agent behavior in complex systems.

Papers

August 17, 2023

Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
Takahiro Maeda, Norimichi Ukita
Trajectory Prediction Density Estimation Fast Inference Trajectory Prediction Model Rank One Update State of the Art Trajectory Conditional F\"ollmer Flow

August 10, 2023

Tracing the Influence of Predecessors on Trajectory Prediction
Mengmeng Liu, Hao Cheng, Michael Ying Yang
Trajectory Prediction External Influence Pedestrian Trajectory Prediction Trajectory Prediction Model Vehicle Trajectory Prediction Novel Predecessor and Successor

July 18, 2023

EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
Inhwan Bae, Jean Oh, Hae-Gon Jeon
Trajectory Prediction Trajectory Prediction Model Novel Descriptor Eigen Portfolio Local Trajectory Shape Descriptor Multi Modal Trajectory Forecasting

June 27, 2023

Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
Mozhgan Pourkeshavarz, Mohammad Sabokrou, Amir Rasouli
Adversarial Attack Autonomous Driving Trajectory Prediction Trajectory Prediction Model Adversarial Backdoor

May 31, 2023

Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention
Frederik S. B. Westerhout, Julian F. Schumann, Arkady Zgonnikov
Autonomous Driving Trajectory Prediction Model Trajectory Forecasting Smooth Trajectory Smooth Attention

May 29, 2023

Improving the Generalizability of Trajectory Prediction Models with Frenet-Based Domain Normalization
Luyao Ye, Zikang Zhou, Jianping Wang
Trajectory Prediction Stronger Generalizability Trajectory Prediction Model

February 27, 2023

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang
Autonomous Driving Trajectory Prediction Lane Detection Trajectory Prediction Model Multimodal Trajectory Prediction

October 13, 2022

Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks
Amr Abdelraouf, Mohamed Abdel-Aty, Zijin Wang, Ou Zheng
Trajectory Prediction Sequence to Sequence Intersection Scenario Vehicle Trajectory Trajectory Prediction Model Conflict Detection Road Safety

July 18, 2022

Action-based Contrastive Learning for Trajectory Prediction
Marah Halawa, Olaf Hellwich, Pia Bideau
Contrastive Learning Trajectory Prediction Trajectory Prediction Model Pedestrian Trajectory Trajectory Representation Trajectory Embeddings

July 11, 2022

Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting
Dooseop Choi, KyoungWook Min
Variational Autoencoder Latent Variable Trajectory Prediction Model Latent Hierarchy Multi Modal Trajectory Forecasting Lane Level Map

June 17, 2022

Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles
Hongyu Hu, Qi Wang, Zhengguang Zhang, Zhengyi Li, Zhenhai Gao
Autonomous Vehicle Trajectory Prediction Decision Making Trajectory Prediction Model Joint Neural Joint Trajectory Prediction

May 15, 2022

Uncertainty estimation for Cross-dataset performance in Trajectory prediction
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, Fabien Moutarde
Trajectory Prediction Uncertainty Estimation Trajectory Prediction Model Prediction Uncertainty Cross Dataset Generalizable Feature State of the Art Trajectory

March 31, 2022

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
Autonomous Driving Trajectory Prediction Trajectory Generation Agent Behavior Trajectory Prediction Model Naturalistic Driving Reactive Behavior Multi Modal Trajectory Prediction

March 6, 2022

Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation
Abduallah Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian Claudel
Trajectory Prediction Model Displacement Estimation

February 9, 2022

CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention
Julian Schmidt, Julian Jordan, Franz Gritschneder, Klaus Dietmayer
Autonomous Vehicle Graph Convolution Multi Head Self Attention Trajectory Prediction Model Vehicle Trajectory Prediction Vehicle Prediction Crystal Graph Convolutional Neural Network

January 13, 2022

On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles
Qingzhao Zhang, Shengtuo Hu, Jiachen Sun, Qi Alfred Chen, Z. Morley Mao
Autonomous Vehicle Adversarial Robustness Trajectory Prediction Trajectory Prediction Model Adversarial Trajectory

December 2, 2021

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving
Manabu Nakanoya, Junha Im, Hang Qiu, Sachin Katti, Marco Pavone, Sandeep Chinchali
Autonomous Driving Autonomous Vehicle Personalized Federated Learning Driver Behavior Trajectory Prediction Model Robust Robot

Trajectory Prediction Model

Papers

Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction

Tracing the Influence of Predecessors on Trajectory Prediction

EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting

Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving

Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention

Improving the Generalizability of Trajectory Prediction Models with Frenet-Based Domain Normalization

LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints

Trajectory Prediction for Vehicle Conflict Identification at Intersections Using Sequence-to-Sequence Recurrent Neural Networks

Action-based Contrastive Learning for Trajectory Prediction

Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting

Holistic Transformer: A Joint Neural Network for Trajectory Prediction and Decision-Making of Autonomous Vehicles

Uncertainty estimation for Cross-dataset performance in Trajectory prediction

TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving

Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation

CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention

On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving