MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion (original) (raw)

MOTR: End-to-End Multiple-Object Tracking with TRansformer

Andrian Novialdi

ArXiv, 2021

View PDFchevron_right

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Aditya Prakash 04

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

View PDFchevron_right

TrackFormer: Multi-Object Tracking with Transformers

Tim Meinhardt

ArXiv, 2021

View PDFchevron_right

Real-time Generalized Sensor Fusion with Transformers

Aayush Ahuja

2021

View PDFchevron_right

Transformer-based assignment decision network for multiple object tracking

Athena Psalta

arXiv (Cornell University), 2022

View PDFchevron_right

LIFTS: Lidar and Monocular Image Fusion for Multi-Object Tracking and Segmentation

Haorui Ji

2020

View PDFchevron_right

MODETR: Moving Object Detection with Transformers

Eslam Mohamed

2021

View PDFchevron_right

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles

Kha Gia Quach

ArXiv, 2022

View PDFchevron_right

No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs

Mohan Trivedi

2018

View PDFchevron_right

Real-Time 3D Object Detection and SLAM Fusion in a Low-Cost LiDAR Test Vehicle Setup

Duarte Fernandes

Sensors

View PDFchevron_right

MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data

Shreyash Pandey

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

View PDFchevron_right

LiDAR-Camera-Based Deep Dense Fusion for Robust 3D Object Detection

Lihua Wen

Intelligent Computing Methodologies

View PDFchevron_right

Dual-Branch CNNs for Vehicle Detection and Tracking on LiDAR Data

Ivan Pino

IEEE Transactions on Intelligent Transportation Systems, 2020

View PDFchevron_right

Transformers in Single Object Tracking: An Experimental Survey

Subha Fernando

arXiv (Cornell University), 2023

View PDFchevron_right

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

Hayder Radha

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

View PDFchevron_right

Autonomous Vehicles and Machines Conference, at IS&T Electronic Imaging

Darshan Bhanushali

2020

View PDFchevron_right

360$$^{\circ }$$ Real-Time 3D Multi-object Detection and Tracking for Autonomous Vehicle Navigation

Carlos Gómez Huélamo

Advances in Intelligent Systems and Computing, 2020

View PDFchevron_right

Multiple Object Tracking in Robotic Applications: Trends and Challenges

Huda Alheeh

Applied Sciences

View PDFchevron_right

A Baseline for 3D Multi-Object Tracking

Xinshuo Weng

arXiv:1907.03961, 2019

View PDFchevron_right

LiDAR-camera fusion for 3D object detection

Darshan Bhanushali

Electronic Imaging, 2020

View PDFchevron_right

Multimodal Fusion Object Detection System

Hector Gutierrez

2018

View PDFchevron_right

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving

Shreyash Pandey

ArXiv, 2020

View PDFchevron_right

Towards PAC Multi-Object Detection and Tracking

XIAYAN JI

ArXiv, 2022

View PDFchevron_right

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

Yanwei Fu

Computer Vision – ECCV 2020, 2020

View PDFchevron_right

JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset

Roberto Martin

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

View PDFchevron_right

High-level camera-LiDAR fusion for 3D object detection with machine learning

Victor Romero-cano

2021

View PDFchevron_right

TransFuseGrid: Transformer-based Lidar-RGB fusion for semantic grid prediction

Christian Laugier

2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)

View PDFchevron_right

Multi-Object Tracking Using Poisson Multi-Bernoulli Mixture Filtering For Autonomous Vehicles

Hayder Radha

2021

View PDFchevron_right

Multi-Camera 3D Object Detection for Autonomous Driving Using Deep Learning and Self-Attention Mechanism

Ananya Hazarika

IEEE Access

View PDFchevron_right

Extending Multi-Object Tracking systems to better exploit appearance and 3D information

Harsha Ranasinghe

arXiv (Cornell University), 2019

View PDFchevron_right

Redundant Multi-Object Detection for Autonomous Vehicles in Structured Environments

Angelo Bonfitto

Communications - Scientific letters of the University of Zilina, 2022

View PDFchevron_right

SmartMOT: Exploiting the fusion of HDMaps and Multi-Object Tracking for Real-Time scene understanding in Intelligent Vehicles applications

Carlos Gómez Huélamo

2021 IEEE Intelligent Vehicles Symposium (IV), 2021

View PDFchevron_right

CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking

Landon Harris

2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 2021

View PDFchevron_right

Multi-modal Sensor Fusion for Auto Driving Perception: A Survey

Yikang Li

2022

View PDFchevron_right

Real-time Detection and Tracking of Moving Objects Using Deep Learning and Multi-threaded Kalman Filtering : A joint solution of 3D object detection and tracking for Autonomous Driving

Henrik Söderlund

2019

View PDFchevron_right