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Multi-modal Motion Prediction with Transformer-based Neural Network for
  Autonomous Driving

Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving

14 September 2021
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ArXivPDFHTML

Papers citing "Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving"

11 / 11 papers shown
Title
DyTTP: Trajectory Prediction with Normalization-Free Transformers
DyTTP: Trajectory Prediction with Normalization-Free Transformers
Yunxiang Liu
Hongkuo Niu
33
0
0
07 Apr 2025
Control-ITRA: Controlling the Behavior of a Driving Model
Control-ITRA: Controlling the Behavior of a Driving Model
Vasileios Lioutas
Adam Scibior
Matthew Niedoba
Berend Zwartsenberg
Frank D. Wood
72
0
0
17 Jan 2025
JaywalkerVR: A VR System for Collecting Safety-Critical
  Pedestrian-Vehicle Interactions
JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions
Kenta Mukoya
Erica Weng
Rohan Choudhury
Kris Kitani
27
0
0
05 Jul 2024
Heterogeneous Graph-based Trajectory Prediction using Local Map Context
  and Social Interactions
Heterogeneous Graph-based Trajectory Prediction using Local Map Context and Social Interactions
Daniel Grimm
Maximilian Zipfl
Felix Hertlein
Alexander Naumann
Jürgen Lüttin
Steffen Thoma
Stefan Schmid
Lavdim Halilaj
Achim Rettinger
J. Marius Zöllner
25
3
0
30 Nov 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
19
46
0
12 Jul 2023
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID
  Inference using Transformer Nearest-Centroid Embeddings
TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
Gusseppe Bravo Rocca
Peini Liu
Jordi Guitart
Ajay Dholakia
David Ellison
16
1
0
21 Jun 2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
Erica Weng
Hanako Hoshino
Deva Ramanan
Kris M. Kitani
33
13
0
10 May 2023
Learning Interaction-aware Motion Prediction Model for Decision-making
  in Autonomous Driving
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Wenhui Huang
Chen Lv
24
17
0
08 Feb 2023
Exploring Contextual Representation and Multi-Modality for End-to-End
  Autonomous Driving
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
Shoaib Azam
Farzeen Munir
Ville Kyrki
M. Jeon
Witold Pedrycz
35
1
0
13 Oct 2022
Augmenting Reinforcement Learning with Transformer-based Scene
  Representation Learning for Decision-making of Autonomous Driving
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
Haochen Liu
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ViT
OffRL
20
33
0
24 Aug 2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory
  Prediction via Scene Encoding
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
Xiaosong Jia
Peng Wu
Li Chen
Y. Liu
Hongyang Li
Junchi Yan
21
120
0
30 Apr 2022
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