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Related papers: Event-based Agile Object Catching with a Quadruped…

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Quadrupedal robots have demonstrated remarkable agility and robustness in traversing complex terrains. However, they struggle with dynamic object interactions, where contact must be precisely sensed and controlled. To bridge this gap, we…

Event-based cameras capture visual information as asynchronous streams of per-pixel brightness changes, generating sparse, temporally precise data. Compared to conventional frame-based sensors, they offer significant advantages in capturing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Biswadeep Sen , Benoit R. Cottereau , Nicolas Cuperlier , Terence Sim

Being inspired by the biological eye, event camera is a novel asynchronous technology that pose a paradigm shift in acquisition of visual information. This paradigm enables event cameras to capture pixel-size fast motions much more…

Computer Vision and Pattern Recognition · Computer Science 2024-06-26 David El-Chai Ben-Ezra , Ron Arad , Ayelet Padowicz , Israel Tugendhaft

Visual teach-and-repeat (VT&R) navigation enables robots to autonomously traverse previously demonstrated paths using visual feedback. We present a novel event-camera-based VT\&R system. Our system formulates event-stream matching as…

Robotics · Computer Science 2026-03-10 Gokul B. Nair , Alejandro Fontan , Michael Milford , Tobias Fischer

Optical tactile sensors have recently become popular. They provide high spatial resolution, but struggle to offer fine temporal resolutions. To overcome this shortcoming, we study the idea of replacing the RGB camera with an event-based…

Robotics · Computer Science 2024-08-16 Niklas Funk , Erik Helmut , Georgia Chalvatzaki , Roberto Calandra , Jan Peters

Event-based cameras are ideal for line-based motion estimation, since they predominantly respond to edges in the scene. However, accurately determining the camera displacement based on events continues to be an open problem. This is because…

Computer Vision and Pattern Recognition · Computer Science 2024-01-17 Ling Gao , Hang Su , Daniel Gehrig , Marco Cannici , Davide Scaramuzza , Laurent Kneip

This work develops a tracking system based on an event-based camera. A bioinspired filtering algorithm to reduce noise and transmitted data while keeping the main features at the scene is implemented in FPGA which also serves as a network…

Robotics · Computer Science 2017-07-25 Juan Barrios-Avilés , Taras Iakymchuk , Jorge Samaniego , Alfredo Rosado-Muñoz

Background: Large engineering structures, such as space launch towers and suspension bridges, are subjected to extreme forces that cause high-speed 3D deformation and compromise safety. These structures typically operate under extreme…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Banglei Guan , Yifei Bian , Zibin Liu , Haoyang Li , Xuanyu Bai , Taihang Lei , Bin Li , Yang Shang , Qifeng Yu

Simulating event streams from 3D scenes has become a common practice in event-based vision research, as it meets the demand for large-scale, high temporal frequency data without setting up expensive hardware devices or undertaking extensive…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Zhenyang Li , Xiaoyang Bai , Jinfan Lu , Pengfei Shen , Edmund Y. Lam , Yifan Peng

Existing tracking algorithms typically rely on low-frame-rate RGB cameras coupled with computationally intensive deep neural network architectures to achieve effective tracking. However, such frame-based methods inherently face challenges…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Shiao Wang , Xiao Wang , Liye Jin , Bo Jiang , Lin Zhu , Lan Chen , Yonghong Tian , Bin Luo

Event cameras, which feature pixels that independently respond to changes in brightness, are becoming increasingly popular in high-speed applications due to their lower latency, reduced bandwidth requirements, and enhanced dynamic range…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Ziyuan Qu , Zihao Zou , Vivek Boominathan , Praneeth Chakravarthula , Adithya Pediredla

Robot manipulation is a common task in fields like industrial manufacturing. Detecting when objects slip from a robot's grasp is crucial for safe and reliable operation. Event cameras, which register pixel-level brightness changes at high…

Computer Vision and Pattern Recognition · Computer Science 2025-05-29 Thilo Reinold , Suman Ghosh , Guillermo Gallego

Line segment extraction is effective for capturing geometric features of human-made environments. Event-based cameras, which asynchronously respond to contrast changes along edges, enable efficient extraction by reducing redundant data.…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Mikihiro Ikura , Arren Glover , Masayoshi Mizuno , Chiara Bartolozzi

The event camera is a novel bio-inspired vision sensor. When the brightness change exceeds the preset threshold, the sensor generates events asynchronously. The number of valid events directly affects the performance of event-based tasks,…

Computer Vision and Pattern Recognition · Computer Science 2022-08-24 Xijie Xiang , Lin Zhu , Jianing Li , Yonghong Tian , Tiejun Huang

Event cameras provide microsecond latency, making them suitable for 6D object pose tracking in fast, dynamic scenes where conventional RGB and depth pipelines suffer from motion blur and large pixel displacements. We introduce EventTrack6D,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Jae-Young Kang , Hoonhee Cho , Taeyeop Lee , Minjun Kang , Bowen Wen , Youngho Kim , Kuk-Jin Yoon

The diffusion of drones presents significant security and safety challenges. Traditional surveillance systems, particularly conventional frame-based cameras, struggle to reliably detect these targets due to their small size, high agility,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Gabriele Magrini , Lorenzo Berlincioni , Luca Cultrera , Federico Becattini , Pietro Pala

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide…

Computer Vision and Pattern Recognition · Computer Science 2018-04-06 Antoni Rosinol Vidal , Henri Rebecq , Timo Horstschaefer , Davide Scaramuzza

Recent advances in quadrupedal robots have demonstrated impressive agility and the ability to traverse diverse terrains. However, hardware issues, such as motor overheating or joint locking, may occur during long-distance walking or…

Robotics · Computer Science 2025-02-11 Seunghyun Lee , I Made Aswin Nahrendra , Dongkyu Lee , Byeongho Yu , Minho Oh , Hyun Myung

Event cameras provide a number of benefits over traditional cameras, such as the ability to track incredibly fast motions, high dynamic range, and low power consumption. However, their application into computer vision problems, many of…

Computer Vision and Pattern Recognition · Computer Science 2019-12-20 Alex Zihao Zhu , Ziyun Wang , Kaung Khant , Kostas Daniilidis

Legged robots can traverse a wide variety of terrains, some of which may be challenging for wheeled robots, such as stairs or highly uneven surfaces. However, quadruped robots face stability challenges on slippery surfaces. This can be…