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The lane keeping assistance system (LKAS), a representative of the advanced driver assistance system (ADAS), comprises a shared control that cooperates with the driver to achieve a common goal. The experience of the driver through the…

人机交互 · 计算机科学 2018-09-18 Kyudong Park , Sung H. Han , Hojin Lee

Advanced driver assistance systems (ADAS) are often used in the automotive industry to highlight innovative improvements in vehicle safety. However, today it is unclear whether certain automation (e.g., adaptive cruise control, lane…

人机交互 · 计算机科学 2021-09-27 Sophie Le Page , Jason Millar , Kelly Bronson , Shalaleh Rismani , AJung Moon

Advanced driving assistance systems (ADAS) are primarily designed to increase driving safety and reduce traffic congestion without paying too much attention to passenger comfort or motion sickness. However, in view of autonomous cars, and…

Affective technology offers exciting opportunities to improve road safety by catering to human emotions. Modern car interiors enable the contactless detection of user states, paving the way for a systematic promotion of safe driver behavior…

人机交互 · 计算机科学 2021-10-29 Michael Braun , Florian Weber , Florian Alt

During the use of Advanced Driver Assistance Systems (ADAS), drivers can intervene in the active function and take back control due to various reasons. However, the specific reasons for driver-initiated takeovers in naturalistic driving are…

机器人学 · 计算机科学 2024-06-11 Robin Schwager , Michael Grimm , Xin Liu , Lukas Ewecker , Tim Bruehl , Tin Stribor Sohn , Soeren Hohmann

Advanced Driver Assistance Systems (ADAS) enhance highway safety by improving environmental perception and reducing human errors. However, misconceptions, trust issues, and knowledge gaps hinder widespread adoption. This study examines…

机器学习 · 计算机科学 2025-02-25 Hannah Musau , Nana Kankam Gyimah , Judith Mwakalonge , Gurcan Comert , Saidi Siuhi

Lane change is a very demanding driving task and number of traffic accidents are induced by mistaken maneuvers. An automated lane change system has the potential to reduce driver workload and to improve driving safety. One challenge is how…

机器人学 · 计算机科学 2021-01-01 Zheng Wang , Muhua Guan , Jin Lan , Bo Yang , Tsutomu Kaizuka , Junichi Taki , Kimihiko Nakano

Affective states have a critical role in driving performance and safety. They can degrade driver situation awareness and negatively impact cognitive processes, severely diminishing road safety. Therefore, detecting and assessing drivers'…

机器学习 · 计算机科学 2019-07-24 Daniel Lopez-Martinez , Neska El-Haouij , Rosalind Picard

Vehicles equipped with automated driving capabilities have shown potential to improve safety and operations. Advanced driver assistance systems (ADAS) and automated driving systems (ADS) have been widely developed to support vehicular…

应用统计 · 统计学 2024-10-15 Shengxuan Ding , Mohamed Abdel-Aty , Natalia Barbour , Dongdong Wang , Zijin Wang , Ou Zheng

Past research on recognizing human affect has made use of a variety of physiological sensors in many ways. Nonetheless, how affective dynamics are influenced in the context of human daily life has not yet been explored. In this work, we…

人工智能 · 计算机科学 2019-11-07 Byung Hyung Kim , Sungho Jo

Recently, the scientific progress of Advanced Driver Assistance System solutions (ADAS) has played a key role in enhancing the overall safety of driving. ADAS technology enables active control of vehicles to prevent potentially risky…

信号处理 · 电气工程与系统科学 2023-08-07 Francesco Rundo , Concetto Spampinato , Michael Rundo

Automated vehicle acceptance (AVA) has been measured mostly subjectively by questionnaires and interviews, with a main focus on drivers inside automated vehicles (AVs). To ensure that AVs are widely accepted by the public, ensuring the…

Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price. The latest…

人工智能 · 计算机科学 2021-06-24 Xinran Li , Kuo-Yi Lin , Min Meng , Xiuxian Li , Li Li , Yiguang Hong , Jie Chen

With the growing technological advances in autonomous driving, the transport industry and research community seek to determine the impact that autonomous vehicles (AV) will have on consumers, as well as identify the different factors that…

人机交互 · 计算机科学 2022-01-11 Walter Morales Alvarez , Nikita Smirnov , Elmar Matthes , Cristina Olaverri-Monreal

This paper addresses the shared lateral control for both lane-keeping and obstacle avoidance tasks of a driver steering assist system (DSAS). In this work, we propose a novel approach to deal with the interactions between the human (driver)…

系统与控制 · 电气工程与系统科学 2020-03-05 Anh-Tu Nguyen , Chouki Sentouh , Jean-Christophe Popieul , Boussaad Soualmi

Emotion and a broader range of affective driver states can be a life decisive factor on the road. While this aspect has been investigated repeatedly, the advent of autonomous automobiles puts a new perspective on the role of computer-based…

人机交互 · 计算机科学 2022-03-16 Björn W. Schuller , Dagmar M. Schuller

The increasing number of accidents caused by alcohol-impaired driving has prompted the development of integrated safety systems in vehicles to monitor driver behavior and prevent crashes. This paper explores how drivers perceive these…

人机交互 · 计算机科学 2025-05-30 RoshikNagaSai Patibandla , Ross Greer

Advanced driver assistance systems (ADAS) are increasingly prevalent in the vehicle fleet, significantly impacting safety and capacity. Transportation agencies struggle to plan for these effects as ADAS availability is not tracked in…

计算机与社会 · 计算机科学 2024-08-05 Noah Goodall

Leveraging a newly released open dataset of Lane Keeping Assist (LKA) systems from production vehicles, this paper presents the first comprehensive empirical analysis of real-world LKA performance. Our study yields three key findings: (i)…

机器人学 · 计算机科学 2025-05-20 Yuhang Wang , Abdulaziz Alhuraish , Shuyi Wang , Hao Zhou

Human emotion detection in automated vehicles helps to improve comfort and safety. Research in the automotive domain focuses a lot on sensing drivers' drowsiness and aggression. We present a new form of implicit driver-vehicle cooperation,…

人机交互 · 计算机科学 2020-03-31 Henrik Detjen , Stefan Geisler , Stefan Schneegass
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