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LiDAR-camera calibration is a precondition for many heterogeneous systems that fuse data from LiDAR and camera. However, the constraint from common field of view and the requirement for strict time synchronization make the calibration a…

Robotics · Computer Science 2019-07-31 Bo Fu , Yue Wang , Xiaqing Ding , Yanmei Jiao , Li Tang , Rong Xiong

With the ability of providing direct and accurate enough range measurements, light detection and ranging (LiDAR) is playing an essential role in localization and detection for autonomous vehicles. Since single LiDAR suffers from hardware…

Robotics · Computer Science 2022-01-14 Yusheng Wang , Yidong Lou , Weiwei Song , Huan Yu , Zhiyong Tu

Entanglement and correlation of quantum light can enhance LiDAR sensitivity in the presence of strong background noise. However, the power of such quantum sources is fundamentally limited to a stream of single photons and cannot compete…

Quantum Physics · Physics 2023-08-03 Han Liu , Changhao Qin , Georgios Papangelakis , Meng Lon Iu , Amr S Helmy

Low-noise lasers are of central importance in a wide variety of applications, including high spectral-efficiency coherent communication protocols, distributed fibre sensing, and long distance coherent LiDAR. In addition to low phase noise,…

Perception in 3D has become standard practice for a large part of robotics applications. High quality 3D perception is costly. Our previous work on a nodding 2D Lidar provides high quality 3D depth information with low cost, but the sparse…

Computer Vision and Pattern Recognition · Computer Science 2020-01-01 Anindya Harchowdhury , Lindsay Kleeman , Leena Vachhani

We present 4DLidarOpen, a large-scale open multi-modal dataset for autonomous driving, centered on 4D frequency-modulated continuous-wave (FMCW) Lidar sensing. Unlike conventional time-of-flight Lidar datasets that mainly provide geometric…

Robotics · Computer Science 2026-05-19 Kane Qian , Xin Zhao , Yining Shi , Rujun Yan , Zhengqing Pan , Kaojin Zhu , Mengmeng Yang , Kai Sun , Diange Yang , Kun Jiang

LiDAR and 4D radar are widely used in autonomous driving and robotics. While LiDAR provides rich spatial information, 4D radar offers velocity measurement and remains robust under adverse conditions. As a result, increasing studies have…

Computer Vision and Pattern Recognition · Computer Science 2025-06-24 Xiangyuan Peng , Miao Tang , Huawei Sun , Bierzynski Kay , Lorenzo Servadei , Robert Wille

Laser based ranging (LiDAR) - already ubiquitously used in industrial monitoring, atmospheric dynamics, or geodesy - is key sensor technology. Coherent laser ranging, in contrast to time-of-flight approaches, is immune to ambient light,…

Optical Coherence Tomography (OCT) is a key 3D imaging technology that provides micron scale depth resolution for bio-imaging. This resolution substantially surpasses what it typically achieved in Light Detection and Ranging (LiDAR) which…

Optics · Physics 2022-07-27 Robbie Murray , Ashley Lyons

Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances and create detailed three-dimensional representations of…

Signal Processing · Electrical Eng. & Systems 2025-04-15 Saad Ahmed Jamal

Accurate environmental perception is critical for advanced driver assistance systems (ADAS). Light detection and ranging (LiDAR) systems play a crucial role in ADAS; they can reliably detect obstacles and help ensure traffic safety.…

Robotics · Computer Science 2025-02-25 Federico Scarì , Nitin Jonathan Myers , Chen Quan , Arkady Zgonnikov

High performance lidars are essential in autonomous robots such as self-driving cars, automated ground vehicles and intelligent machines. Traditional mechanical scanning lidars offer superior performance in autonomous vehicles, but the…

Robotics · Computer Science 2020-06-22 Zheng Liu , Fu Zhang , Xiaoping Hong

Coherent lidars promise a number of advantages over traditional time-of-flight lidars for autonomous vehicles. These include the direct measurement of target approach velocities via the Doppler effect, and near-immunity to interference from…

Autonomous robots that assist humans in day to day living tasks are becoming increasingly popular. Autonomous mobile robots operate by sensing and perceiving their surrounding environment to make accurate driving decisions. A combination of…

Computer Vision and Pattern Recognition · Computer Science 2018-08-24 Varuna De Silva , Jamie Roche , Ahmet Kondoz

Recent progress in the automated driving system (ADS) and advanced driver assistant system (ADAS) has shown that the combined use of 3D light detection and ranging (LiDAR) and the camera is essential for an intelligent vehicle to perceive…

Image and Video Processing · Electrical Eng. & Systems 2019-12-24 Yecheng Lyu , Lin Bai , Mahdi Elhousni , Xinming Huang

Multiple LiDARs have progressively emerged on autonomous vehicles for rendering a wide field of view and dense measurements. However, the lack of precise calibration negatively affects their potential applications in localization and…

Robotics · Computer Science 2019-05-14 Jianhao Jiao , Yang Yu , Qinghai Liao , Haoyang Ye , Ming Liu

The advent of the digital age has driven the development of coherent optical modems--devices that modulate the amplitude and phase of light in multiple polarization states. These modems transmit data through fiber optic cables that are…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Parsa Mirdehghan , Brandon Buscaino , Maxx Wu , Doug Charlton , Mohammad E. Mousa-Pasandi , Kiriakos N. Kutulakos , David B. Lindell

This paper introduces PanoRadar, a novel RF imaging system that brings RF resolution close to that of LiDAR, while providing resilience against conditions challenging for optical signals. Our LiDAR-comparable 3D imaging results enable, for…

Signal Processing · Electrical Eng. & Systems 2024-05-31 Haowen Lai , Gaoxiang Luo , Yifei Liu , Mingmin Zhao

We present a proof-of-concept LIDAR design that allows adaptive real-time measurements according to dynamically specified measurement patterns. We describe our optical setup and calibration, which enables fast sparse depth measurements…

Computer Vision and Pattern Recognition · Computer Science 2020-10-19 Francesco Pittaluga , Zaid Tasneem , Justin Folden , Brevin Tilmon , Ayan Chakrabarti , Sanjeev J. Koppal

LiDARs are widely used for 3D depth reconstruction, but their performance is often limited by inherent hardware constraints that impose trade-offs between range, spatial resolution, and frame rate. Many LiDAR systems typically operate at…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Darshana Rathnayake , Dulanga Weerakoon , Meera Radhakrishnan , Archan Misra