LEO: Graph Attention Network based Hybrid Multi Sensor Extended Object Fusion and Tracking for Autonomous Driving Applications
Fuente:
arXiv
Saved in:
| Main Authors: | Mayank, Mayank, Duraisamy, Bharanidhar, Geiss, Florian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving
by: Mayank, Mayank, et al.
Published: (2026)
by: Mayank, Mayank, et al.
Published: (2026)
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
by: Xie, Weiyi, et al.
Published: (2024)
by: Xie, Weiyi, et al.
Published: (2024)
Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection
by: Lin, Xiaojian, et al.
Published: (2025)
by: Lin, Xiaojian, et al.
Published: (2025)
CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detection
by: Alhamdan, Hanadi, et al.
Published: (2026)
by: Alhamdan, Hanadi, et al.
Published: (2026)
Multi-Scale Spatial-Temporal Self-Attention Graph Convolutional Networks for Skeleton-based Action Recognition
by: Nakamura, Ikuo
Published: (2024)
by: Nakamura, Ikuo
Published: (2024)
RAPiD: Real-time Deterministic Trajectory Planning via Diffusion Behavior Priors for Safe and Efficient Autonomous Driving
by: Reddy, Ruturaj, et al.
Published: (2026)
by: Reddy, Ruturaj, et al.
Published: (2026)
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection
by: Huang, Tiange, et al.
Published: (2025)
by: Huang, Tiange, et al.
Published: (2025)
Adaptive Riemannian Graph Neural Networks
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
A Hybrid Model for Stock Market Forecasting: Integrating News Sentiment and Time Series Data with Graph Neural Networks
by: Sadek, Nader, et al.
Published: (2025)
by: Sadek, Nader, et al.
Published: (2025)
Saccade Attention Networks: Using Transfer Learning of Attention to Reduce Network Sizes
by: Estafanous, Marc
Published: (2026)
by: Estafanous, Marc
Published: (2026)
Learning Association via Track-Detection Matching for Multi-Object Tracking
by: Adžemović, Momir
Published: (2025)
by: Adžemović, Momir
Published: (2025)
Incorporating Prior Knowledge into Neural Networks through an Implicit Composite Kernel
by: Jiang, Ziyang, et al.
Published: (2022)
by: Jiang, Ziyang, et al.
Published: (2022)
Bottom-up Anytime Discovery of Generalised Multimodal Graph Patterns for Knowledge Graphs
by: Wilcke, Xander, et al.
Published: (2024)
by: Wilcke, Xander, et al.
Published: (2024)
Hierarchical Multi-Scale Graph Learning with Knowledge-Guided Attention for Whole-Slide Image Survival Analysis
by: Xu, Bin, et al.
Published: (2026)
by: Xu, Bin, et al.
Published: (2026)
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
by: Febrinanto, Falih Gozi, et al.
Published: (2023)
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations
by: Carrow, Stephen, et al.
Published: (2024)
by: Carrow, Stephen, et al.
Published: (2024)
Entropy Aware Message Passing in Graph Neural Networks
by: Nazari, Philipp, et al.
Published: (2024)
by: Nazari, Philipp, et al.
Published: (2024)
CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
by: Mukherjee, Debdeep, et al.
Published: (2025)
by: Mukherjee, Debdeep, et al.
Published: (2025)
Deep Spectral Meshes: Multi-Frequency Facial Mesh Processing with Graph Neural Networks
by: Kosk, Robert, et al.
Published: (2024)
by: Kosk, Robert, et al.
Published: (2024)
Augmented Assembly: Object Recognition and Hand Tracking for Adaptive Assembly Instructions in Augmented Reality
by: Kyaw, Alexander Htet, et al.
Published: (2025)
by: Kyaw, Alexander Htet, et al.
Published: (2025)
Design and Implementation of a RISC-V SoC with Custom DSP Accelerators for Edge Computing
by: Yadav, Priyanshu
Published: (2025)
by: Yadav, Priyanshu
Published: (2025)
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning
by: Yang, Xiaopeng, et al.
Published: (2024)
by: Yang, Xiaopeng, et al.
Published: (2024)
LLM Performance Predictors: Learning When to Escalate in Hybrid Human-AI Moderation Systems
by: Bachar, Or, et al.
Published: (2026)
by: Bachar, Or, et al.
Published: (2026)
Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
by: Lapin, Mykyta, et al.
Published: (2025)
by: Lapin, Mykyta, et al.
Published: (2025)
DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
by: Usman, Muhammad, et al.
Published: (2025)
by: Usman, Muhammad, et al.
Published: (2025)
Real-Time Band-Grouped Vocal Denoising Using Sigmoid-Driven Ideal Ratio Masking
by: Williams, Daniel
Published: (2026)
by: Williams, Daniel
Published: (2026)
Extreme Learning Machines for Fast Training of Click-Through Rate Prediction Models
by: Biçici, Ergun
Published: (2024)
by: Biçici, Ergun
Published: (2024)
Learning to maintain safety through expert demonstrations in settings with unknown constraints: A Q-learning perspective
by: Papadopoulos, George, et al.
Published: (2026)
by: Papadopoulos, George, et al.
Published: (2026)
Less is More: Learning Graph Tasks with Just LLMs
by: Shirai, Sola, et al.
Published: (2025)
by: Shirai, Sola, et al.
Published: (2025)
LISTA-Transformer Model Based on Sparse Coding and Attention Mechanism and Its Application in Fault Diagnosis
by: Liu, Shuang, et al.
Published: (2026)
by: Liu, Shuang, et al.
Published: (2026)
Graph-based Fake Account Detection: A Survey
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
by: Dehkordi, Ali Safarpoor, et al.
Published: (2025)
SABER: Spatial Attention, Brain, Extended Reality
by: Bullock, Tom, et al.
Published: (2026)
by: Bullock, Tom, et al.
Published: (2026)
Predicting When to Trust Vision-Language Models for Spatial Reasoning
by: Imran, Muhammad, et al.
Published: (2026)
by: Imran, Muhammad, et al.
Published: (2026)
Bayesian Entropy Neural Networks for Physics-Aware Prediction
by: Rathnakumar, Rahul, et al.
Published: (2024)
by: Rathnakumar, Rahul, et al.
Published: (2024)
Augmenting Replay in World Models for Continual Reinforcement Learning
by: Yang, Luke, et al.
Published: (2024)
by: Yang, Luke, et al.
Published: (2024)
Giving Sensors a Voice: Multimodal JEPA for Semantic Time-Series Embeddings
by: Dutta, Utsav, et al.
Published: (2026)
by: Dutta, Utsav, et al.
Published: (2026)
A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
by: Dhole, Kaustubh D.
Published: (2025)
by: Dhole, Kaustubh D.
Published: (2025)
MR-GNF: Multi-Resolution Graph Neural Forecasting on Ellipsoidal Meshes for Efficient Regional Weather Prediction
by: Shchur, Andrii, et al.
Published: (2026)
by: Shchur, Andrii, et al.
Published: (2026)
Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing
by: Shahbazi, Shermin, et al.
Published: (2026)
by: Shahbazi, Shermin, et al.
Published: (2026)
Similar Items
-
Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving
by: Mayank, Mayank, et al.
Published: (2026) -
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
by: Xie, Weiyi, et al.
Published: (2024) -
Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection
by: Lin, Xiaojian, et al.
Published: (2025) -
CBANet: A Compact Attention-Based CNN-BiLSTM Network for Aggressive Driving Event Detection
by: Alhamdan, Hanadi, et al.
Published: (2026) -
Multi-Scale Spatial-Temporal Self-Attention Graph Convolutional Networks for Skeleton-based Action Recognition
by: Nakamura, Ikuo
Published: (2024)