ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1808.00259
  4. Cited By
Drone Detection Using Depth Maps

Drone Detection Using Depth Maps

1 August 2018
Adrian Carrio
Sai H. Vemprala
A. Ripoll
Srikanth Saripalli
P. Campoy
ArXiv (abs)PDFHTML

Papers citing "Drone Detection Using Depth Maps"

15 / 15 papers shown
Drone Detection with Event Cameras
Drone Detection with Event Cameras
Gabriele Magrini
Lorenzo Berlincioni
Luca Cultrera
Federico Becattini
P. Pala
76
0
0
06 Aug 2025
Drone Detection using Deep Neural Networks Trained on Pure Synthetic
  Data
Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data
Mariusz Wisniewski
Zeeshan A. Rana
Ivan Petrunin
Alan Holt
Stephen Harman
178
2
0
13 Nov 2024
Physical Adversarial Attack on Monocular Depth Estimation via
  Shape-Varying Patches
Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches
Chenxing Zhao
Yang Li
Shihao. Wu
Wenyi Tan
Shuangju Zhou
Quanbiao Pan
MDEAAML
157
5
0
24 Jul 2024
Preserving Relative Localization of FoV-Limited Drone Swarm via Active
  Mutual Observation
Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation
Lianjie Guo
Zaitian Gongye
Ziyi Xu
Yingjian Wang
Xin Zhou
Jinni Zhou
Fei Gao
152
1
0
01 Jul 2024
Towards Safe Mid-Air Drone Interception: Strategies for Tracking & Capture
Towards Safe Mid-Air Drone Interception: Strategies for Tracking & Capture
Michal Pliska
Matouš Vrba
Tomáš Báča
Martin Saska
372
8
0
22 May 2024
FACT: Fast and Active Coordinate Initialization for Vision-based Drone
  Swarms
FACT: Fast and Active Coordinate Initialization for Vision-based Drone Swarms
Yuanxin Li
Anke Zhao
Yingjian Wang
Ziyi Xu
Xin Zhou
Jinni Zhou
Chao Xu
Fei Gao
264
3
0
20 Mar 2024
Ultra-low Power Deep Learning-based Monocular Relative Localization
  Onboard Nano-quadrotors
Ultra-low Power Deep Learning-based Monocular Relative Localization Onboard Nano-quadrotorsIEEE International Conference on Robotics and Automation (ICRA), 2023
Stefano Bonato
Stefano Carlo Lambertenghi
Elia Cereda
Alessandro Giusti
Daniele Palossi
174
11
0
03 Mar 2023
UAV Tracking with Lidar as a Camera Sensors in GNSS-Denied Environments
UAV Tracking with Lidar as a Camera Sensors in GNSS-Denied EnvironmentsInternational Conference on Localization and Global Navigation Satellite System (ICL-GNSS), 2023
Sier Ha
Xianjia Yu
Iacopo Catalano
Jorge Pena Queralta
Zhuo Zou
Tomi Westerlund
222
28
0
01 Mar 2023
Dense Depth Estimation from Multiple 360-degree Images Using Virtual
  Depth
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth
Seongyeop Yang
Kunhee Kim
Yeejin Lee
MDE
169
2
0
30 Dec 2021
DronePose: The identification, segmentation, and orientation detection
  of drones via neural networks
DronePose: The identification, segmentation, and orientation detection of drones via neural networks
S. Scholes
Alice Ruget
Germán Mora-Martín
Feng Zhu
Istvan Gyongy
Jonathan Leach
208
2
0
10 Dec 2021
Autonomous Aerial Delivery Vehicles, a Survey of Techniques on how
  Aerial Package Delivery is Achieved
Autonomous Aerial Delivery Vehicles, a Survey of Techniques on how Aerial Package Delivery is Achieved
Jack D. Saunders
Sajad Saeedi
Wenbin Li
291
51
0
06 Oct 2021
Self-supervised Monocular Multi-robot Relative Localization with
  Efficient Deep Neural Networks
Self-supervised Monocular Multi-robot Relative Localization with Efficient Deep Neural NetworksIEEE International Conference on Robotics and Automation (ICRA), 2021
Shushuai Li
Christophe De Wagter
Guido C. H. E de Croon
SSL
241
29
0
26 May 2021
Dogfight: Detecting Drones from Drones Videos
Dogfight: Detecting Drones from Drones VideosComputer Vision and Pattern Recognition (CVPR), 2021
M. W. Ashraf
Waqas Sultani
M. Shah
214
69
0
31 Mar 2021
Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point
  Clouds
Adaptive Lidar Scan Frame Integration: Tracking Known MAVs in 3D Point CloudsInternational Conference on Advanced Robotics (ICAR), 2021
Qingqing Li
Xianjia Yu
Jorge Peña Queralta
Tomi Westerlund
132
16
0
06 Mar 2021
TKD: Temporal Knowledge Distillation for Active Perception
TKD: Temporal Knowledge Distillation for Active PerceptionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Mohammad Farhadi
Yezhou Yang
180
28
0
04 Mar 2019
1