A Brief Survey on SLAM Methods in Autonomous Vehicle

Takleh, Talha Takleh Omar; Bakar, Nordin Abu; Abdul-Rahman, Shuzlina; Hamzah, Raseeda; Aziz, Zalilah Abd

doi:10.14419/ijet.v7i4.27.22477

Cited by 36 publications

(11 citation statements)

References 17 publications

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“…It is an important prerequisite for the planning and control [3]. Currently, localization strategies are divided into four categories: Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU), visual Simultaneously Localization and Mapping (SLAM), LiDAR SLAM, and fusion-based SLAM [4].…”

Section: A Localizationmentioning

confidence: 99%

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

Chen

Huang

et al. 2023

IEEE Trans. Intell. Veh.

248

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Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits. Although a number of surveys have reviewed research achievements in this field, they are still limited in specific tasks, lack of systematic summary and research directions in the future. Here we propose a Survey of Surveys (SoS) for total technologies of AD and IVs that reviews the history, summarizes the milestones, and provides the perspectives, ethics, and future research directions. To our knowledge, this article is the first SoS with milestones in AD and IVs, which constitutes our complete research work together with two other technical surveys. We anticipate that this article will bring novel and diverse insights to researchers and abecedarians, and serve as a bridge between past and future.

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Section: A Localizationmentioning

confidence: 99%

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

Chen

Huang

et al. 2023

IEEE Trans. Intell. Veh.

248

View full text Add to dashboard Cite

show abstract

“…Mapping is used to visualize the surrounding environment (Takleh Omar Takleh et al, 2018) and generate a representation either in 2D…”

Section: Mappingmentioning

confidence: 99%

“…Mapping is used to visualize the surrounding environment (Takleh Omar Takleh et al, 2018) and generate a representation either in 2D or 3D. The map can be a representation of landmarks that are of interest to describe the environment.…”

Section: Safe Transitmentioning

confidence: 99%

Autonomous aerial robotics for package delivery: A technical review

Saunders

Saeedi

2023

Journal of Field Robotics

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Small unmanned aerial vehicles (UAVs) have gained significant interest in the last decade. More specifically these vehicles have the capacity to impact package delivery logistics in a disruptive way. This paper reviews research problems and state‐of‐the‐art solutions that facilitate package delivery. Different aerial manipulators and grippers are listed along with control techniques to address stability issues. Landing on a platform is next discussed which encompasses static and dynamic platforms. Landing on a dynamic platform presents further challenges. This includes delayed control responses and poor precision of the relative motion between the platform and the aerial vehicle. Subsequently, risks such as weather conditions, state estimation, and collision avoidance to ensure safe transit is considered. Finally, delivery UAV routing is investigated which categorizes the topic into two areas: drone operations and drone–truck collaborative operations. Additionally, we compare the solutions against design, environmental, and legal constraints.

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“…Therefore, an alternative approach to UAV localization and perception is needed, since it is the fundamental building block for autonomous upper missions such as navigation. The SLAM [4][5][6] technique has been widely researched for robot localization, and many excellent works have been presented. The SLAM technique is designed to simultaneously estimate the state (position, orientation) of the robot body and construct a map of the surrounding unknown environment through the data collected by the sensors.…”

Section: Introductionmentioning

confidence: 99%

Visual SLAM for Unmanned Aerial Vehicles: Localization and Perception

Zhuang,

Zhong,

et al. 2024

Sensors

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Localization and perception play an important role as the basis of autonomous Unmanned Aerial Vehicle (UAV) applications, providing the internal state of movements and the external understanding of environments. Simultaneous Localization And Mapping (SLAM), one of the critical techniques for localization and perception, is facing technical upgrading, due to the development of embedded hardware, multi-sensor technology, and artificial intelligence. This survey aims at the development of visual SLAM and the basis of UAV applications. The solutions to critical problems for visual SLAM are shown by reviewing state-of-the-art and newly presented algorithms, providing the research progression and direction in three essential aspects: real-time performance, texture-less environments, and dynamic environments. Visual–inertial fusion and learning-based enhancement are discussed for UAV localization and perception to illustrate their role in UAV applications. Subsequently, the trend of UAV localization and perception is shown. The algorithm components, camera configuration, and data processing methods are also introduced to give comprehensive preliminaries. In this paper, we provide coverage of visual SLAM and its related technologies over the past decade, with a specific focus on their applications in autonomous UAV applications. We summarize the current research, reveal potential problems, and outline future trends from academic and engineering perspectives.

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A Brief Survey on SLAM Methods in Autonomous Vehicle

Cited by 36 publications

References 17 publications

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

Autonomous aerial robotics for package delivery: A technical review

Visual SLAM for Unmanned Aerial Vehicles: Localization and Perception

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