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We introduce FalconWing, an ultra-light (150 g) indoor fixed-wing UAV platform for vision-based autonomy. Controlled indoor environment enables year-round repeatable UAV experiment but imposes strict weight and maneuverability limits on the…

Robotics · Computer Science 2025-11-25 Yan Miao , Will Shen , Hang Cui , Sayan Mitra

This paper presents a novel approach for local 3D environment representation for autonomous unmanned ground vehicle (UGV) navigation called On Visible Point Clouds Mesh(OVPC Mesh). Our approach represents the surrounding of the robot as a…

Robotics · Computer Science 2018-11-27 Fabio Ruetz , Emili Hernández , Mark Pfeiffer , Helen Oleynikova , Mark Cox , Thomas Lowe , Paulo Borges

In this paper, a combat Unmanned Air Vehicle (UAV) is modeled in the simulation environment. The rotary wing UAV is successfully performed various tasks such as locking on the targets, tracking, and sharing the relevant data with…

Robotics · Computer Science 2022-06-28 A. Huzeyfe Demir , Berke Yavas , Mehmet Yazici , Dogukan Aksu , M. Ali Aydin

In this study a model pipeline is proposed that combines computer vision with control-theoretic methods and utilizes low cost sensors. The proposed work enables perception-aware motion control for a quadrotor UAV to detect and navigate to…

Systems and Control · Electrical Eng. & Systems 2024-07-23 Konstantinos Gounis , Nikolaos Passalis , Anastasios Tefas

To participate in the Outback Medical Express UAV Challenge 2016, a vehicle was designed and tested that can hover precisely, take-off and land vertically, fly fast forward efficiently and use computer vision to locate a person and a…

This paper proposes an illumination-robust visual odometry (VO) system that incorporates both accelerated learning-based corner point algorithms and an extended line feature algorithm. To be robust to dynamic illumination, the proposed…

Robotics · Computer Science 2023-12-20 Kuan Xu , Yuefan Hao , Shenghai Yuan , Chen Wang , Lihua Xie

While Unmanned Aerial Vehicles (UAVs) are increasingly deployed in several missions, their inability of reliable and consistent autonomous landing poses a major setback for deploying such systems truly autonomously. In this paper we present…

Robotics · Computer Science 2022-10-18 Michalis Piponidis , Panayiotis Aristodemou , Theocharis Theocharides

Drones are a promising technology for autonomous data collection and indoor sensing. In situations when human-controlled UAVs may not be practical or dependable, such as in uncharted or dangerous locations, the usage of autonomous UAVs…

Robotics · Computer Science 2023-04-19 Aswin Iyer , Santosh Narayan , Naren M , Manoj kumar Rajagopal

Drone racing is becoming a popular e-sport all over the world, and beating the best human drone race pilots has quickly become a new major challenge for artificial intelligence and robotics. In this paper, we propose a strategy for…

In this paper, we introduce a complete system for autonomous flight of quadrotors in dynamic environments with onboard sensing. Extended from existing work, we develop an occlusion-aware dynamic perception method based on depth images,…

Robotics · Computer Science 2021-03-11 Yingjian Wang , Jialin Ji , Qianhao Wang , Chao Xu , Fei Gao

Unmanned Aerial Vehicles (UAVs) have recently shown great performance collecting visual data through autonomous exploration and mapping in building inspection. Yet, the number of studies is limited considering the post processing of the…

Robotics · Computer Science 2018-08-01 Fatih Kucuksubasi , Arzu Sorguc

Cameras provide a rich source of information while being passive, cheap and lightweight for small and medium Unmanned Aerial Vehicles (UAVs). In this work we present the first implementation of receding horizon control, which is widely used…

Object-Counting for remote-sensing (RS) imagery is attracting increasing research interest due to its crucial role in a wide and diverse set of applications. While several promising methods for RS object-counting have been proposed,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Tamir Shor , George Leifman , Genady Beryozkin

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,…

Robotics · Computer Science 2021-03-02 Fanze Kong , Wei Xu , Fu Zhang

Robust velocity and position estimation is crucial for autonomous robot navigation. The optical flow based methods for autonomous navigation have been receiving increasing attentions in tandem with the development of micro unmanned aerial…

Robotics · Computer Science 2018-12-06 Chen Wang , Tete Ji , Thien-Minh Nguyen , Lihua Xie

Autonomous, agile quadrotor flight raises fundamental challenges for robotics research in terms of perception, planning, learning, and control. A versatile and standardized platform is needed to accelerate research and let practitioners…

The ultimate research goal for unmanned aerial vehicles (UAVs) is to facilitate autonomy of operation. Research in the last decade has highlighted the potential of vision sensing in this regard. Although vital for accomplishment of missions…

Computer Vision and Pattern Recognition · Computer Science 2015-04-28 Shoaib Ehsan , Klaus D. McDonald-Maier

Autonomous Micro Aerial Vehicles (MAVs), with a form factor of 10cm in diameter, are an emerging technology thanks to the broad applicability enabled by their onboard intelligence. However, these platforms are strongly limited in the…

The vision of unmanned aerial vehicles is very significant for UAV-related applications such as search and rescue, landing on a moving platform, etc. In this work, we have developed an integrated system for the UAV landing on the moving…

Robotics · Computer Science 2023-01-03 Kangcheng Liu

Autonomous agile flight brings up fundamental challenges in robotics, such as coping with unreliable state estimation, reacting optimally to dynamically changing environments, and coupling perception and action in real time under severe…