Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review

AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …

[HTML][HTML] Contribution of geometric feature analysis for deep learning classification algorithms of urban LiDAR data

F Tarsha Kurdi, W Amakhchan, Z Gharineiat… - Sensors, 2023 - mdpi.com
The use of a Machine Learning (ML) classification algorithm to classify airborne urban Light
Detection And Ranging (LiDAR) point clouds into main classes such as buildings, terrain …

面向三维点云的域自适应学习.

范文辉, 林茜, 罗欢, 郭文忠… - Journal of Remote …, 2024 - search.ebscohost.com
三维点云数据在自动驾驶, 机器人和高精地图等领域得到了广泛应用. 目前,
基于深度学习的三维点云数据处理主要基于有监督学习, 其算法性能依赖于大规模高质量的标注 …

Advanced Autonomous Navigation Technologies for UAVs: Challenges and Opportunities

I Senhaji-Mouhaddib, S Bouzakri… - 2024 4th International …, 2024 - ieeexplore.ieee.org
The utilization of Unmanned Aerial Vehicles (UAVs) has revolutionized numerous industries,
with navigation being a crucial factor in ensuring their operational success. This literature …

Navigating the Future: AI Innovations for Intelligent Mobility in Smart Cities

A Al-Kaff - 2023 - sae.org
As we stand on the evolution of a new era in urban devel-opment, the concept of smart cities
emerges as an embodiment of innovation and progress. A smart city uses cutting-edge …

Técnicas avanzadas para la percepción de vehículos autónomos en plataformas reales

I Cortés Lafuente - 2024 - e-archivo.uc3m.es
Los vehículos autónomos se han convertido en un campo de investigación y desarrollo en
constante evolución, prometiendo revolucionar la manera en que nos desplazamos y …