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相关论文: Visual Environment Assessment for Safe Autonomous …

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Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-saving technology that can enable identification of survivors under collapsed buildings in the aftermath of natural disasters such as earthquakes or gas explosions. However,…

机器人学 · 计算机科学 2024-03-08 Mayank Mittal , Rohit Mohan , Wolfram Burgard , Abhinav Valada

In this paper, we propose a resource-efficient approach to provide an autonomous UAV with an on-board perception method to detect safe, hazard-free landing sites during flights over complex 3D terrain. We aggregate 3D measurements acquired…

A remaining challenge in multirotor drone flight is the autonomous identification of viable landing sites in unstructured environments. One approach to solve this problem is to create lightweight, appearance-based terrain classifiers that…

计算机视觉与模式识别 · 计算机科学 2025-04-01 Joshua Springer , Gylfi Þór Guðmundsson , Marcel Kyas

Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-saving technology that can enable identification of survivors under collapsed buildings in the aftermath of natural disasters such as earthquakes or gas explosions. However,…

机器人学 · 计算机科学 2018-09-18 Mayank Mittal , Abhinav Valada , Wolfram Burgard

In practical applications, autonomous quadrotors are still facing significant challenges, such as the detection and avoidance of very small and even dynamic obstacles (e.g., tree branches, power lines). In this paper, we propose a compact,…

机器人学 · 计算机科学 2021-03-02 Fanze Kong , Wei Xu , Fu Zhang

This paper introduces a quadrotor's autonomous take-off and landing system on a moving platform. The designed system addresses three challenging problems: fast pose estimation, restricted external localization, and effective obstacle…

机器人学 · 计算机科学 2022-08-11 Pengyu Wang , Chaoqun Wang , Jiankun Wang , Max Q. -H. Meng

Full autonomy for fixed-wing unmanned aerial vehicles (UAVs) requires the capability to autonomously detect potential landing sites in unknown and unstructured terrain, allowing for self-governed mission completion or handling of emergency…

机器人学 · 计算机科学 2018-02-27 Timo Hinzmann , Thomas Stastny , Cesar Cadena , Roland Siegwart , Igor Gilitschenski

Autonomous landing in cluttered or unstructured environments remains a safety-critical challenge for unmanned aerial vehicles (UAVs), particularly under noisy perception caused by sensor uncertainty and platform-induced disturbances such as…

Quadrotors hold significant promise for several applications such as agriculture, search and rescue, and infrastructure inspection. Achieving autonomous operation requires systems to navigate safely through complex and unfamiliar…

机器人学 · 计算机科学 2025-10-07 Jeffrey Mao , Raghuram Cauligi Srinivas , Steven Nogar , Giuseppe Loianno

Selecting safe landing sites in non-cooperative environments is a key step towards the full autonomy of UAVs. However, the existing methods have the common problems of poor generalization ability and robustness. Their performance in unknown…

机器人学 · 计算机科学 2020-11-30 Lyujie Chen , Xiaming Yuan , Yao Xiao , Yiding Zhang , Jihong Zhu

Autonomous exploration is a widely studied fundamental application in the field of quadrotors, which requires them to automatically explore unknown space to obtain complete information about the environment. The frontier-based method, which…

机器人学 · 计算机科学 2024-02-27 Tong Zhang , Jiajie Yu , Jiaqi Li , Minghui Pang

Safe autonomous landing for Unmanned Aerial Vehicles (UAVs) in populated areas is a crucial aspect for successful urban deployment, particularly in emergency landing situations. Nonetheless, validating autonomous landing in real scenarios…

机器人学 · 计算机科学 2024-04-02 Hector Tovanche-Picon , Javier Gonzalez-Trejo , Angel Flores-Abad , Diego Mercado-Ravell

Autonomous landing on a moving platform presents unique challenges for multirotor vehicles, including the need to accurately localize the platform, fast trajectory planning, and precise/robust control. Previous works studied this problem…

系统与控制 · 电气工程与系统科学 2020-03-16 Aleix Paris , Brett T. Lopez , Jonathan P. How

An important capability of autonomous Unmanned Aerial Vehicles (UAVs) is autonomous landing while avoiding collision with obstacles in the process. Such capability requires real-time local trajectory planning. Although trajectory-planning…

机器人学 · 计算机科学 2021-11-19 Yossi Magrisso , Ehud Rivlin , Hector Rotstein

This paper presents a framework for controlled emergency landing of a quadcopter, experiencing a rotor failure, away from sensitive areas. A complete mathematical model capturing the dynamics of the system is presented that takes the…

机器人学 · 计算机科学 2018-09-26 Mojtaba Hedayatpour , Mehran Mehrandezh , Farrokh Janabi-Sharifi

Hazard detection is critical for enabling autonomous landing on planetary surfaces. Current state-of-the-art methods leverage traditional computer vision approaches to automate the identification of safe terrain from input digital elevation…

机器人学 · 计算机科学 2025-08-27 Kento Tomita , Katherine A. Skinner , Koki Ho

Reliable pipeline inspection is critical to safe energy transportation, but is constrained by long distances, complex terrain, and risks to human inspectors. Unmanned aerial vehicles provide a flexible sensing platform, yet reliable…

机器人学 · 计算机科学 2026-04-22 Wen Li , Hui Wang , Jinya Su , Cunjia Liu , Wen-Hua Chen , Shihua Li

The next generation of Mars rotorcrafts requires on-board autonomous hazard avoidance landing. To this end, this work proposes a system that performs continuous multi-resolution height map reconstruction and safe landing spot detection.…

机器人学 · 计算机科学 2022-05-10 Pedro F. Proença , Jeff Delaune , Roland Brockers

The remarkable growth of unmanned aerial vehicles (UAVs) has also sparked concerns about safety measures during their missions. To advance towards safer autonomous aerial robots, this work presents a vision-based solution to ensuring safe…

机器人学 · 计算机科学 2023-10-09 Phuoc Nguyen Thuan , Tomi Westerlund , Jorge Peña Queralta

For intelligent quadcopter UAVs, a robust and reliable autonomous planning system is crucial. Most current trajectory planning methods for UAVs are suitable for static environments but struggle to handle dynamic obstacles, which can pose…

机器人学 · 计算机科学 2023-12-29 Jiageng Zhong , Ming Li , Yinliang Chen , Zihang Wei , Fan Yang , Haoran Shen
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