English
Related papers

Related papers: Developing a data fusion concept for radar and opt…

200 papers

Low earth orbit (LEO) satellite constellations are becoming a cornerstone of next-generation satellite networks, enabling worldwide high-precision navigation and high-quality remote sensing. This paper proposes a novel dual-function LEO…

Information Theory · Computer Science 2025-11-18 Qi Wang , Xiaoming Chen , Qiao Qi , Zhaolin Wang , Yuanwei Liu

In this paper, we present a parallel architecture for a sensor fusion detection system that combines a camera and 1D light detection and ranging (lidar) sensor for object detection. The system contains two object detection methods, one…

Computer Vision and Pattern Recognition · Computer Science 2022-01-25 I-Hsi Kao , Ya-Zhu Yian , Jian-An Su , Yi-Horng Lai , Jau-Woei Perng , Tung-Li Hsieh , Yi-Shueh Tsai , Min-Shiu Hsieh

(Abridged) The Large Synoptic Survey Telescope (LSST) is currently by far the most ambitious proposed ground-based optical survey. Solar System mapping is one of the four key scientific design drivers, with emphasis on efficient Near-Earth…

Recently, the progress in the radar sensing technology consisting in the miniaturization of the packages and increase in measuring precision has drawn the interest of the robotics research community. Indeed, a crucial task enabling autonomy…

Robotics · Computer Science 2026-02-05 Jan Michalczyk

Land Surface Temperature (LST) plays a key role in climate monitoring, urban heat assessment, and land-atmosphere interactions. However, current thermal infrared satellite sensors cannot simultaneously achieve high spatial and temporal…

Machine Learning · Computer Science 2025-12-24 Sofiane Bouaziz , Adel Hafiane , Raphael Canals , Rachid Nedjai

Radars, due to their robustness to adverse weather conditions and ability to measure object motions, have served in autonomous driving and intelligent agents for years. However, Radar-based perception suffers from its unintuitive sensing…

Computer Vision and Pattern Recognition · Computer Science 2023-07-18 Liu Liu , Shuaifeng Zhi , Zhenhua Du , Li Liu , Xinyu Zhang , Kai Huo , Weidong Jiang

The perception of autonomous vehicles has to be efficient, robust, and cost-effective. However, cameras are not robust against severe weather conditions, lidar sensors are expensive, and the performance of radar-based perception is still…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Felix Fent , Andras Palffy , Holger Caesar

The ability to accurately detect and localize objects is recognized as being the most important for the perception of self-driving cars. From 2D to 3D object detection, the most difficult is to determine the distance from the ego-vehicle to…

Computer Vision and Pattern Recognition · Computer Science 2021-05-31 Nguyen Anh Minh Mai , Pierre Duthon , Louahdi Khoudour , Alain Crouzil , Sergio A. Velastin

Driven by deep learning techniques, perception technology in autonomous driving has developed rapidly in recent years, enabling vehicles to accurately detect and interpret surrounding environment for safe and efficient navigation. To…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Shanliang Yao , Runwei Guan , Xiaoyu Huang , Zhuoxiao Li , Xiangyu Sha , Yong Yue , Eng Gee Lim , Hyungjoon Seo , Ka Lok Man , Xiaohui Zhu , Yutao Yue

This paper addresses the challenge of achieving robust and reliable positioning of a radio device carried by an agent, in scenarios where direct line-of-sight (LOS) radio links are obstructed by the agent. We propose a Bayesian estimation…

Signal Processing · Electrical Eng. & Systems 2025-04-28 Hong Zhu , Alexander Venus , Erik Leitinger , Klaus Witrisal

Earth observation (EO) satellites in Low Earth Orbit (LEO) are collecting vast amounts of data, which are invaluable for applications such as monitoring forest fires. However, data downloading from EO satellites faces significant challenges…

Networking and Internet Architecture · Computer Science 2025-11-27 Bo Wu , David Tipper , Pengfei Zhou

The Liverpool Telescope is one of the world's premier facilities for time domain astronomy. The time domain landscape is set to radically change in the coming decade, with surveys such as LSST providing huge numbers of transient detections…

Maritime surveillance (MS) is of paramount importance for search and rescue operations, fishery monitoring, pollution control, law enforcement, migration monitoring, and national security policies. Since ground-based radars and automatic…

The increase in space activities has increased the risks of space debris generation, affecting space safety and sustainability. Traditional space situational awareness (SSA) relies on single star trackers and ground-based tracking…

Systems and Control · Electrical Eng. & Systems 2026-05-05 Dianle Gong , Peng Hu

The Rapid Telescope for Optical Response (RAPTOR) program consists of a network of robotic telescopes dedicated to the search for fast optical transients. The pilot project is composed of three observatories separated by approximately 38…

We discuss the possible synergies for cosmology between SKAO and ESO facilities, focusing on the combinations SKA-Mid with the Multi-Object Spectrograph Telescope (4MOST) instrument built for ESO's Visible and Infrared Survey Telescope for…

Instrumentation and Methods for Astrophysics · Physics 2025-03-07 Mario G. Santos , Stefano Camera , Zhaoting Chen , Steven Cunnington , Jose Fonseca

Digital co-addition of astronomical images is a common technique for increasing signal-to-noise and image depth. A modification of this simple technique has been applied to the detection of minor bodies in the Solar System: first stationary…

Earth and Planetary Astrophysics · Physics 2015-05-18 Alex H. Parker , JJ. Kavelaars

With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated heterogeneity is readily available nowadays, which renders researchers an…

Computer Vision and Pattern Recognition · Computer Science 2022-05-04 Jiaxin Li , Danfeng Hong , Lianru Gao , Jing Yao , Ke Zheng , Bing Zhang , Jocelyn Chanussot

The Large Synoptic Survey Telescope (LSST) is an 8-m optical ground-based telescope being constructed on Cerro Pachon in Chile. LSST will survey half the sky every few nights in six optical bands. The data will be transferred to NCSA and…

Instrumentation and Methods for Astrophysics · Physics 2015-11-24 Tim Jenness