Toward Autonomy of Micro Aerial Vehicles in Unknown and Global Positioning System Denied Environments

Zhou, Yu; Lai, Shupeng; Cheng, Huimin; Redhwan, Abdul Hamid Mohamed; Wang, Pengfei; Zhu, Jiayuan; Gao, Zhi; Ma, Zhengtian; Bi, Yingcai; Lin, Feng; Chen, Ben M.

doi:10.1109/tie.2020.3008378

Cited by 16 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach can predict the occupancy grids for a longer horizon of 3 s in dynamic environments. Y. Zhou et al (2021) used a method that updated the value of the grid depending on its distance to the robot. Using this manner, the occupancy probability of each grid only needs to be updated once.…”

Section: Mavs Onboard Obstacle Descriptionmentioning

confidence: 99%

A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

Lü

Fasano

Carrio³

et al. 2023

Journal of Field Robotics

View full text Add to dashboard Cite

In recent years, unmanned aerial vehicles (UAVs) have been confirmed as a powerful tool for countless applications in nearly every industry, in which collision avoidance plays a vital role for micro aerial vehicles (MAVs) performing autonomous missions.The complexity of collision avoidance systems is directly related to the complexity of the navigation environment, the avoidance of highly uncertain obstacles being a more thoroughly researched critical aspect. The non-cooperative collision avoidance strategy is necessary when communication between the agents is unavailable, under the case with many existing passive obstacles and non-cooperative flying objects. In this article, we review the topic of non-cooperative collision avoidance for MAVs in dynamic environments by covering two main issues: onboard sensing and obstacle description algorithms. A detailed discussion of these two topics is provided to face non-cooperative collision avoidance technology for MAVs. Finally, the paper summarizes the open challenges and foreseen future directions in this field.

show abstract

Section: Mavs Onboard Obstacle Descriptionmentioning

confidence: 99%

A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

Lü

Fasano

Carrio³

et al. 2023

Journal of Field Robotics

View full text Add to dashboard Cite

show abstract

“…Projectiles are characterized by a small-caliber, low cost, high-speed rotation, and huge launching over-loading [6], [7]. Therefore, applying the gimballed INS, characterized by the large volume, high cost, and poor anti-overload performance, to a projectile is difficult.…”

Section: Introductionmentioning

confidence: 99%

Stabilized Inertial Guidance Solution for Rolling Projectile Based on Partial Strapdown Platform

Duan

Cao

2021

IEEE Access

View full text Add to dashboard Cite

It is extremely challenging to apply an Inertial Navigation System (INS) to a gun-launched rolling projectile effectively. Overcoming the negative effects produced by high angular rolling and overloading requires innovative solutions. This paper introduces a unique inertial system that differs from a traditional gimballed INS and a strapdown INS. A Partial Strapdown Platform (PSP) was developed based on the principle of a pendulum to mitigate the adverse effects of projectile rolling motion. The anti-overloading performance of the PSP was improved by using a pair of specially designed alloy steel head-on hemispheres. Force condition analysis was conducted on the projectile and the PSP's inner cylinder to establish the mechanical dynamic model. Computer simulations and turntable experiments were performed to verify the stabilization function of the PSP. The pitch angle was determined to be associated with the stability of the PSP based on simulations and experiments. Gun firing tests were performed to verify the overload-burdening and stabilization functions of the PSP.

show abstract

Enhancing train position perception through AI-driven multi-source information fusion

Song,

Sun,

Wang

et al. 2023

Control Theory Technol.

View full text Add to dashboard Cite

Toward Autonomy of Micro Aerial Vehicles in Unknown and Global Positioning System Denied Environments

Cited by 16 publications

References 30 publications

A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

A comprehensive survey on non‐cooperative collision avoidance for micro aerial vehicles: Sensing and obstacle detection

Stabilized Inertial Guidance Solution for Rolling Projectile Based on Partial Strapdown Platform

Enhancing train position perception through AI-driven multi-source information fusion

Contact Info

Product

Resources

About