EvMAPPER: High Altitude Orthomapping with Event Cameras
Not on the map. Why?
Abstract (arXiv)
Traditionally, unmanned aerial vehicles (UAVs) rely on CMOS-based cameras to collect images about the world below. One of the most successful applications of UAVs is to generate orthomosaics or orthomaps, in which a series of images are integrated together to develop a larger map. However, the use of CMOS-based cameras with global or rolling shutters mean that orthomaps are vulnerable to challenging light conditions, motion blur, and high-speed motion of independently moving objects under the camera. Event cameras are less sensitive to these issues, as their pixels are able to trigger asynchronously on brightness changes. This work introduces the first orthomosaic approach using event cameras. In contrast to existing methods relying only on CMOS cameras, our approach enables map generation even in challenging light conditions, including direct sunlight and after sunset.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 28 references that are in the map. First posted on arXiv 26 Sep 2024.
Builds on
9 of 28 references.
References · 9
- 2019Event-based Vision: A Surveycited by 1,010
- 2019High Speed and High Dynamic Range Video with an Event Cameracited by 344
- 2019Events-to-Video: Bringing Modern Computer Vision to Event Camerascited by 191
- 2018Continuous-time Intensity Estimation Using Event Camerascited by 67
- 2022Multi-Bracket High Dynamic Range Imaging with Event Camerascited by 37
- 2024CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximizationcited by 31
- 2020Learning to Deblur and Generate High Frame Rate Video with an Event Cameracited by 22
- 2021Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopycited by 12
- 2020Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensorscited by 9
Built on by
Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025Air-Ground Collaboration for Language-Specified Missions in Unknown Environmentscited by 11
- 2025EventFly: Event Camera Perception from Ground to the Skycited by 9
- 2025Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunitiescited by 3
- 2026LMPath: Language-Mediated Priors and Path Generation for Aerial Explorationcited by 0
- 2026LMPath: Language-Mediated Priors and Path Generation for Aerial Exploration13 May 2026
- 2025Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities14 May 2025
- 2025Air-Ground Collaboration for Language-Specified Missions in Unknown Environments14 May 2025
- 2025EventFly: Event Camera Perception from Ground to the Sky25 Mar 2025