Complementing Onboard Sensors with Satellite Map: A New Perspective for HD Map Construction
High-Definition (HD) maps play a crucial role in autonomous driving systems. Recent
methods have attempted to construct HD maps in real-time based on information obtained …
methods have attempted to construct HD maps in real-time based on information obtained …
Multi Agent Navigation in Unconstrained Environments using a Centralized Attention based Graphical Neural Network Controller
Y Ma, Q Khan, D Cremers - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
In this work, we propose a learning based neural model that provides both the longitudinal
and lateral control commands to simultaneously navigate multiple vehicles. The goal is to …
and lateral control commands to simultaneously navigate multiple vehicles. The goal is to …
Fast simulation of airfoil flow field via deep neural network
Abstract Computational Fluid Dynamics (CFD) has become an indispensable tool in the
optimization design, and evaluation of aircraft aerodynamics. However, solving the Navier …
optimization design, and evaluation of aircraft aerodynamics. However, solving the Navier …
Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks
Object detection is a core component of perception systems, providing the ego vehicle with
information about its surroundings to ensure safe route planning. While cameras and Lidar …
information about its surroundings to ensure safe route planning. While cameras and Lidar …
[HTML][HTML] Autonomous driving in traffic with end-to-end vision-based deep learning
This paper presents a shallow end-to-end vision-based deep learning approach for
autonomous vehicle driving in traffic scenarios. The primary objectives include lane keeping …
autonomous vehicle driving in traffic scenarios. The primary objectives include lane keeping …
Enhancing Autonomous Driving: A Low-Cost Monocular End-to-End Framework with Multi-Task Integration and Temporal Fusion
Z Rao, Y Cai, H Wang, Y Lian, Y Zhong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
End to end autonomous driving system has rapidly progressed and garnered significant
attention. Recently, multimodal fusion methods have surpassed vision-based methods in …
attention. Recently, multimodal fusion methods have surpassed vision-based methods in …
Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion
P Yang, Y Zhang, H Lei, Y Bian, Q Yang… - … Conference on Medical …, 2023 - Springer
In treating acute ischemic stroke (AIS), determining the time since stroke onset (TSS) is
crucial. Computed tomography perfusion (CTP) is vital for determining TSS by providing …
crucial. Computed tomography perfusion (CTP) is vital for determining TSS by providing …
The Effects of Speed and Delays on Test-Time Performance of End-to-End Self-Driving
A Tampuu, K Roosild, I Uduste - Sensors, 2024 - mdpi.com
This study investigates the effects of speed variations and computational delays on the
performance of end-to-end autonomous driving systems (ADS). Utilizing 1: 10 scale mini …
performance of end-to-end autonomous driving systems (ADS). Utilizing 1: 10 scale mini …
PatchesNet: PatchTST-based multi-scale network security situation prediction
H Yi, S Zhang, D An, Z Liu - Knowledge-Based Systems, 2024 - Elsevier
Abstract Internet of Things (IoT) technology increases connectivity between devices;
however, IoT device networks are less secure, making them highly susceptible to attack …
however, IoT device networks are less secure, making them highly susceptible to attack …
Prescribed safety performance imitation learning from a single expert dataset
Existing safe imitation learning (safe IL) methods mainly focus on learning safe policies that
are similar to expert ones, but may fail in applications requiring different safety constraints. In …
are similar to expert ones, but may fail in applications requiring different safety constraints. In …