Visual semantic navigation with real robots

C Gutiérrez-Álvarez, P Ríos-Navarro… - Applied …, 2025‏ - Springer
Abstract Visual Semantic Navigation (VSN) is the ability of a robot to learn visual semantic
information for navigating in unseen environments. These VSN models are typically tested in …

Consistency regularization-based mutual alignment for source-free domain adaptation

S Lü, Z Li, X Zhang, J Li - Expert Systems with Applications, 2024‏ - Elsevier
Unsupervised domain adaptation (UDA) is used to extend the model working on well-
annotated source data to unlabeled target data. However, in practice, due to privacy and …

Object-specific time-to-collision estimates from monocular vision for drones

MJ Iorpenda, E Asah, V Willert - 2024 22nd International …, 2024‏ - ieeexplore.ieee.org
This paper presents three Time-to-Collision (TTC) estimation algorithms combining non-
object specific low-level vi-sual estimates known from visual geometry with high-level visual …

[PDF][PDF] Evaluating the Performance of a Visual Support System for Driving Assistance using a Deep Learning Algorithm

MS Beg, MY Ismail, MSU Miah - Journal of Advanced Research in …, 2023‏ - core.ac.uk
The issue of road accidents endangering human life has become a global concern due to
the rise in traffic volumes. This article presents the evaluation of an object detection model …

Prediction of Intelligent Vehicle-Pedestrian Conflict in a Highly Uncertain Environment

HM Alghodhaifi - 2023‏ - deepblue.lib.umich.edu
Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …

[PDF][PDF] DATA-DRIVEN TIME-TO-COLLISION MODEL FOR UNMANNED AERIAL VEHICLE CONTROL SYSTEM UNDER VARIOUS PAYLOAD AND SPEED …

S Sabikan - 2023‏ - eprints.utm.my
ABSTRACT Time-to-collision (TTC) can be defined as the time required for vehicles to
collide with another vehicle or static obstacle if they continue at their present speed and on …