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As automated driving technology advances, the role of the driver to resume control of the vehicle in conditionally automated vehicles becomes increasingly critical. In the SAE Level 3 or partly automated vehicles, the driver needs to be…

计算机视觉与模式识别 · 计算机科学 2024-01-23 Mostafa Kazemi , Mahdi Rezaei , Mohsen Azarmi

Gaze Target Detection (GTD), i.e., determining where a person is looking within a scene from an external viewpoint, is a challenging task, particularly in 3D space. Existing approaches heavily rely on analyzing the person's appearance,…

计算机视觉与模式识别 · 计算机科学 2024-09-27 Andrea Toaiari , Vittorio Murino , Marco Cristani , Cigdem Beyan

Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems such as driver monitoring systems and novel user interfaces. Such systems are required to operate reliably in difficult, unconstrained…

计算机视觉与模式识别 · 计算机科学 2018-06-29 Joseph Lemley , Anuradha Kar , Alexandru Drimbarean , Peter Corcoran

As robots operate in increasingly complex and dynamic environments, fast motion re-planning has become a widely explored area of research. In a real-world deployment, we often lack the ability to fully observe the environment at all times,…

机器人学 · 计算机科学 2022-02-08 Mark Nicholas Finean , Wolfgang Merkt , Ioannis Havoutis

Modern driver assistance systems rely on a wide range of sensors (RADAR, LIDAR, ultrasound and cameras) for scene understanding and prediction. These sensors are typically used for detecting traffic participants and scene elements required…

In challenging real-life conditions such as extreme head-pose, occlusions, and low-resolution images where the visual information fails to estimate visual attention/gaze direction, audio signals could provide important and complementary…

计算机视觉与模式识别 · 计算机科学 2022-08-15 Shreya Ghosh , Abhinav Dhall , Munawar Hayat , Jarrod Knibbe

Achieving zero-collision mobility remains a key objective for intelligent vehicle systems, which requires understanding driver risk perception-a complex cognitive process shaped by voluntary response of the driver to external stimuli and…

计算机视觉与模式识别 · 计算机科学 2026-03-09 Nakul Agarwal , Yi-Ting Chen , Behzad Dariush

Modern advanced driver-assistance systems analyze the driving performance to gather information about the driver's state. Such systems are able, for example, to detect signs of drowsiness by evaluating the steering or lane keeping behavior…

计算机视觉与模式识别 · 计算机科学 2020-09-29 Mariella Dreissig , Mohamed Hedi Baccour , Tim Schaeck , Enkelejda Kasneci

Human eye contact is a form of non-verbal communication and can have a great influence on social behavior. Since the location and size of the eye contact targets vary across different videos, learning a generic video-independent eye contact…

计算机视觉与模式识别 · 计算机科学 2022-10-06 Tianyi Wu , Yusuke Sugano

The existing computational visual attention systems have focused on the objective to basically simulate and understand the concept of visual attention system in adults. Consequently, the impact of observer's age in scene viewing behavior…

计算机视觉与模式识别 · 计算机科学 2019-04-30 Onkar Krishna , Kiyoharu Aizawa , Go Irie

This paper investigates the feasibility of using the periocular region for expression recognition. Most works have tried to solve this by analyzing the whole face. Periocular is the facial region in the immediate vicinity of the eye. It has…

计算机视觉与模式识别 · 计算机科学 2020-10-19 Fernando Alonso-Fernandez , Josef Bigun , Cristofer Englund

This paper investigates vision-based cooperative estimation of a 3D target object pose for visual sensor networks. In our previous works, we presented an estimation mechanism called networked visual motion observer achieving averaging of…

系统与控制 · 计算机科学 2012-04-12 Takeshi Hatanaka , Takayuki Nishi , Masayuki Fujita

Nowadays, cars offer many possibilities to explore the world around you by providing location-based information displayed on a 2D-Map. However, this information is often only available to front-seat passengers while being restricted to…

人机交互 · 计算机科学 2023-07-13 Robin Connor Schramm , Markus Sasalovici , Axel Hildebrand , Ulrich Schwanecke

A significant portion of driving hazards is caused by human error and disregard for local driving regulations; Consequently, an intelligent assistance system can be beneficial. This paper proposes a novel vision-based modular package to…

计算机视觉与模式识别 · 计算机科学 2023-03-30 Amirhossein Kazerouni , Amirhossein Heydarian , Milad Soltany , Aida Mohammadshahi , Abbas Omidi , Saeed Ebadollahi

Tracking the movement of human eyes is expected to yield natural and convenient applications based on human-computer interaction (HCI). To implement an effective eye-tracking system, eye movements must be recorded without placing any…

人机交互 · 计算机科学 2016-11-30 Manh Duong Phung , Quang Vinh Tran , Kenji Hara , Hirohito Inagaki , Masanobu Abe

Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such…

计算机视觉与模式识别 · 计算机科学 2024-04-01 Kevin Barkevich , Reynold Bailey , Gabriel J. Diaz

Driver distraction strongly contributes to crash-risk. Therefore, assistance systems that warn the driver if her distraction poses a hazard to road safety, promise a great safety benefit. Current approaches either seek to detect critical…

系统与控制 · 计算机科学 2016-11-17 Felix Schmitt , Hans-Joachim Bieg , Dietrich Manstetten , Michael Herman , Rainer Stiefelhagen

Gaze correction aims to redirect the person's gaze into the camera by manipulating the eye region, and it can be considered as a specific image resynthesis problem. Gaze correction has a wide range of applications in real life, such as…

计算机视觉与模式识别 · 计算机科学 2019-06-04 Jichao Zhang , Meng Sun , Jingjing Chen , Hao Tang , Yan Yan , Xueying Qin , Nicu Sebe

Nowadays, automobile manufacturers make efforts to develop ways to make cars fully safe. Monitoring driver's actions by computer vision techniques to detect driving mistakes in real-time and then planning for autonomous driving to avoid…

计算机视觉与模式识别 · 计算机科学 2020-02-28 Hadi Abdi Khojasteh , Alireza Abbas Alipour , Ebrahim Ansari , Parvin Razzaghi

Autonomous driving technology has advanced significantly, yet detecting driving anomalies remains a major challenge due to the long-tailed distribution of driving events. Existing methods primarily rely on single-modal road condition video…

计算机视觉与模式识别 · 计算机科学 2025-02-06 Long Zhouxiang , Ovanes Petrosian