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Related papers: Two-photon dual-comb LiDAR imaging

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Lidar point cloud distortion from moving object is an important problem in autonomous driving, and recently becomes even more demanding with the emerging of newer lidars, which feature back-and-forth scanning patterns. Accurately estimating…

Robotics · Computer Science 2022-07-05 Wen Yang , Zheng Gong , Baifu Huang , Xiaoping Hong

Lidar is a well known optical technology for measuring a target's range and radial velocity. We describe two lidar systems that use entanglement between transmitted signals and retained idlers to obtain significant quantum enhancements in…

Quantum Physics · Physics 2017-10-25 Quntao Zhuang , Zheshen Zhang , Jeffrey H. Shapiro

In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR public dataset for autonomous driving tasks such as 3D object detection, critical to highway driving and timely decision making. Our platform is equipped with a…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Ze Wang , Sihao Ding , Ying Li , Jonas Fenn , Sohini Roychowdhury , Andreas Wallin , Lane Martin , Scott Ryvola , Guillermo Sapiro , Qiang Qiu

Ever growing pixel acquisition rates in the fields of augmented reality, autonomous driving and robotics have increased interest in solid state beam scanning without moving parts. Modern photonic integrated laser ranging advances towards…

Hyperspectral imaging provides spatially resolved spectral information. Utilising dual frequency combs as active illumination sources, hyperspectral imaging with ultra-high spectral resolution can be implemented in a scan-free manner when a…

Light detection and ranging (LiDAR) is widely used in autonomous systems and industrial metrology; however, the simultaneous acquisition of three-dimensional (3D) structure and broadband spectral information remains challenging, as…

Single cavity dual-comb fiber lasers adopting different multiplexing configurations are benefited from the natures of common-mode noise suppression and superior coherence. Particularly, repetition-rate tunable dual-combs enable…

This paper reports on a novel method for LiDAR odometry estimation, which completely parameterizes the system with dual quaternions. To accomplish this, the features derived from the point cloud, including edges, surfaces, and Stable…

The advent of the laser frequency comb as the wavelength calibration unit allows us to measure the radial velocity at $cm\ s^{-1}$ precision level with high stability in long-term, which enable the possibility of the detection of…

Instrumentation and Methods for Astrophysics · Physics 2018-10-15 Zhao Fei , Zhao Gang , Liu Yujuan , Wang Liang , Wang Huijuan , Li Hongbin , Ye Huiqi , Hao Zhibo , Xiao Dong , Zhang Junbo , Kellermann Hanna , Grupp Frank

Single-photon light detection and ranging (LiDAR), offering single-photon sensitivity and picosecond time resolution, has been widely adopted for active imaging applications. Long-range active imaging is a great challenge, because the…

Image and Video Processing · Electrical Eng. & Systems 2020-01-31 Zheng-Ping Li , Xin Huang , Peng-Yu Jiang , Yu Hong , Chao Yu , Yuan Cao , Jun Zhang , Feihu Xu , Jian-Wei Pan

LiDARs are usually more accurate than cameras in distance measuring. Hence, there is strong interest to apply LiDARs in autonomous driving. Different existing approaches process the rich 3D point clouds for object detection, tracking and…

Robotics · Computer Science 2020-10-15 You Li , Clément Le Bihan , Txomin Pourtau , Thomas Ristorcelli

Femtosecond dual-comb lasers have revolutionized linear Fourier-domain spectroscopy by offering a rapid motion-free, precise and accurate measurement mode with easy registration of the combs beat note in the RF domain. Extensions of this…

The high demand for 3D imaging in intelligent robotics is motivating the advances of coherent LiDARs towards high performances with low complexity/cost. However, the current coherent LiDARs suffer from the tight coupling between the high…

Optics · Physics 2024-12-31 Long Wang , Liang Hu , Wenhai Jiao , Yaxin Shang , Jianping Chen , Guiling Wu

Absolute distance measurement with low return power, fast measurement speed, high precision, and immunity to intensity fluctuations is highly demanded in nanotechnology. However, achieving all these objectives simultaneously remains a…

Optics · Physics 2025-12-30 Zihao Wang , Yifei Wang , Baoqi Shi , Wei Sun , Changxi Yang , Junqiu Liu , Chengying Bao

We demonstrate dual-comb spectroscopy based on difference frequency generation of frequency-agile near-infrared frequency combs, produced with the help of electro-optic modulators. The combs have a remarkably flat intensity distribution and…

Deploying advanced imaging solutions to robotic and autonomous systems by mimicking human vision requires simultaneous acquisition of multiple fields of views, named the peripheral and fovea regions. Low-resolution peripheral field provides…

This paper presents a novel indoor layout estimation system based on the fusion of 2D LiDAR and intensity camera data. A ground robot explores an indoor space with a single floor and vertical walls, and collects a sequence of intensity…

Computer Vision and Pattern Recognition · Computer Science 2022-04-26 Jieyu Li , Robert Stevenson

Dual-comb spectroscopy is extended to the visible spectral range with a set-up based on two frequency-doubled femtosecond ytterbium-doped fiber lasers. The dense rovibronic spectrum of iodine around 19240 cm-1 is recorded within 12 ms at…

We present a new type of dual optical frequency comb source capable of scaling applications to high measurement speeds while combining high average power, ultra-low noise operation, and a compact setup. Our approach is based on a…

A real-time ranging lidar with 0.1 Mega Hertz update rate and few-micrometer resolution incorporating dispersive Fourier transformation and instantaneous microwave frequency measurement is proposed and demonstrated. As time-stretched…

Signal Processing · Electrical Eng. & Systems 2020-08-06 Lijie Zhao , Haiyun Xia , Yihua Hu , Tengfei Wu , Zhen Zhang , Jibo Han , Yunbin Wu , Tiancheng Luo