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Although the recent image-based 3D object detection methods using Pseudo-LiDAR representation have shown great capabilities, a notable gap in efficiency and accuracy still exist compared with LiDAR-based methods. Besides, over-reliance on…

Computer Vision and Pattern Recognition · Computer Science 2021-01-01 Peixuan Li , Shun Su , Huaici Zhao

Time-of-Flight (ToF) cameras require active illumination to obtain depth information thus the power of illumination directly affects the performance of ToF cameras. Traditional ToF imaging algorithms is very sensitive to illumination and…

Computer Vision and Pattern Recognition · Computer Science 2018-12-20 Yan Chen , Jimmy Ren , Xuanye Cheng , Keyuan Qian , Jinwei Gu

LiDARs are being increasingly deployed for consumer imaging in handheld, wearable, and robotic applications. These sensors can capture the time-of-flight of light at picosecond resolution, which in principle, enables them to capture…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Siddharth Somasundaram , Aaron Young , Akshat Dave , Adithya Pediredla , Ramesh Raskar

As one of the automotive sensors that have emerged in recent years, 4D millimeter-wave radar has a higher resolution than conventional 3D radar and provides precise elevation measurements. But its point clouds are still sparse and noisy,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Hongsi Liu , Jun Liu , Guangfeng Jiang , Xin Jin

Active depth sensors like structured light, lidar, and time-of-flight systems sample the depth of the entire scene uniformly at a fixed scan rate. This leads to limited spatio-temporal resolution where redundant static information is…

Computer Vision and Pattern Recognition · Computer Science 2021-12-21 Manasi Muglikar , Diederik Paul Moeys , Davide Scaramuzza

Safety and reliability are crucial for the public acceptance of autonomous driving. To ensure accurate and reliable environmental perception, intelligent vehicles must exhibit accuracy and robustness in various environments. Millimeter-wave…

Computer Vision and Pattern Recognition · Computer Science 2025-02-24 Yue Sun , Yeqiang Qian , Chunxiang Wang , Ming Yang

Real-time spatial monitoring in underground longwall operations is challenging due to methane-related safety risks, poor visibility, elevated thermal loads, spatial confinement, and bandwidth-limited communications. Currently available…

Image and Video Processing · Electrical Eng. & Systems 2026-05-05 Pasindu Ranasinghe , Bikram Banerjee , Simit Raval

Light Detection and Ranging (LiDAR) technology in consumer-grade mobile devices can be used as a replacement for traditional background removal and compositing techniques. Unlike approaches such as chroma keying and trained AI models,…

Image and Video Processing · Electrical Eng. & Systems 2025-09-03 Jessica Kinnevan , Naifa Alqahtani , Toral Chauhan

Lightweight direct Time-of-Flight (dToF) sensors are ideal for 3D sensing on mobile devices. However, due to the manufacturing constraints of compact devices and the inherent physical principles of imaging, dToF depth maps are sparse and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Xuan Zhu , Jijun Xiang , Xianqi Wang , Longliang Liu , Yu Wang , Hong Zhang , Fei Guo , Xin Yang

Building accurate maps is a key building block to enable reliable localization, planning, and navigation of autonomous vehicles. We propose a novel approach for building accurate maps of dynamic environments utilizing a sequence of LiDAR…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Xingguang Zhong , Yue Pan , Cyrill Stachniss , Jens Behley

This paper proposes FAST-LIVO2: a fast, direct LiDAR-inertial-visual odometry framework to achieve accurate and robust state estimation in SLAM tasks and provide great potential in real-time, onboard robotic applications. FAST-LIVO2 fuses…

Lidar-based sensing drives current autonomous vehicles. Despite rapid progress, current Lidar sensors still lag two decades behind traditional color cameras in terms of resolution and cost. For autonomous driving, this means that large…

Computer Vision and Pattern Recognition · Computer Science 2021-11-15 Tianwei Yin , Xingyi Zhou , Philipp Krähenbühl

Over the past decade, lidars have become a cornerstone of robotics state estimation and perception thanks to their ability to provide accurate geometric information about their surroundings in the form of 3D scans. Unfortunately, most of…

Robotics · Computer Science 2024-10-08 Cedric Le Gentil , Raphael Falque , Teresa Vidal-Calleja

The development of single-photon counting detectors and arrays has made tremendous steps in recent years, not the least because of various new applications in, e.g., LIDAR devices. In this work, a 3D imaging device based on real thermal…

There are two critical sensors for 3D perception in autonomous driving, the camera and the LiDAR. The camera provides rich semantic information such as color, texture, and the LiDAR reflects the 3D shape and locations of surrounding…

Computer Vision and Pattern Recognition · Computer Science 2022-05-31 Kaicheng Yu , Tang Tao , Hongwei Xie , Zhiwei Lin , Zhongwei Wu , Zhongyu Xia , Tingting Liang , Haiyang Sun , Jiong Deng , Dayang Hao , Yongtao Wang , Xiaodan Liang , Bing Wang

Arrays of photodetector-based pixel sensors are ubiquitous in modern devices, such as smart phone cameras, automobiles, drones, laptops etc. Two dimensional (2D) material-based photodetector arrays are a relevant candidate, especially for…

A new robust and accurate approach for the detection and localization of flying objects with the purpose of highly dynamic aerial interception and agile multi-robot interaction is presented in this paper. The approach is proposed for use on…

Transient imaging or light-in-flight techniques capture the propagation of an ultra-short pulse of light through a scene, which in effect captures the optical impulse response of the scene. Recently, it has been shown that we can capture…

Computer Vision and Pattern Recognition · Computer Science 2015-12-22 Ryuichi Tadano , Adithya Kumar Pediredla , Kaushik Mitra , Ashok Veeraraghavan

Indirect Time-of-Flight cameras (iToF) are low-cost devices that provide depth images at an interactive frame rate. However, they are affected by different error sources, with the spotlight taken by Multi-Path Interference (MPI), a key…

Computer Vision and Pattern Recognition · Computer Science 2021-11-30 Adriano Simonetto , Gianluca Agresti , Pietro Zanuttigh , Henrik Schäfer

This paper presents a new FDTD-based optical simulation model dedicated to describe the optical performances of CMOS image sensors taking into account diffraction effects. Following market trend and industrialization constraints, CMOS image…

Optics · Physics 2023-10-17 Flavien Hirigoyen , Axel Crocherie , Jérôme Vaillant , Yvon Cazaux
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