15.3.1.8.2 Driver Assistance, Displays, Views

Chapter Contents (Back)
Driver Assistance. Display.

Trivedi, M.M., Gandhi, T., McCall, J.C.,
Looking-In and Looking-Out of a Vehicle: Computer-Vision-Based Enhanced Vehicle Safety,
ITS(8), No. 1, March 2007, pp. 108-120.
IEEE DOI 0703
BibRef

Trivedi, M.M., Cheng, S.Y.,
Holistic Sensing and Active Displays for Intelligent Driver Support Systems,
Computer(40), No. 5, May 2007, pp. 60-68.
IEEE DOI 0705
BibRef

Cheng, S.Y., Trivedi, M.M.,
Vision-Based Infotainment User Determination by Hand Recognition for Driver Assistance,
ITS(11), No. 3, September 2010, pp. 759-764.
IEEE DOI 1003
BibRef

Ehlgen, T., Pajdla, T., Ammon, D.,
Eliminating Blind Spots for Assisted Driving,
ITS(9), No. 4, December 2008, pp. 657-665.
IEEE DOI 0812
BibRef

Doshi, A., Cheng, S.Y.[Shinko Yuanhsien], Trivedi, M.M.,
A Novel Active Heads-Up Display for Driver Assistance,
SMC-B(39), No. 1, February 2009, pp. 85-93.
IEEE DOI 0902
BibRef

Halmaoui, H., Joulan, K., Hautie`re, N., Cord, A., Bremond, R.,
Quantitative model of the driver's reaction time during daytime fog: Application to a head up display-based advanced driver assistance system,
IET-ITS(9), No. 4, 2015, pp. 375-381.
DOI Link 1506
cameras BibRef

Yang, B., Zheng, R., Yin, Y., Yamabe, S., Nakano, K.,
Analysis of influence on driver behaviour while using in-vehicle traffic lights with application of head-up display,
IET-ITS(10), No. 5, 2016, pp. 347-353.
DOI Link 1608
behavioural sciences computing BibRef

Hwang, Y.[Yoonsook], Park, B.J.[Byoung-Jun], Kim, K.H.[Kyong-Ho],
Effects of Augmented-Reality Head-up Display System Use on Risk Perception and Psychological Changes of Drivers,
ETRI(38), No. 4, August 2016, pp. 757-766.
DOI Link 1608
BibRef

Noble, A.M., Dingus, T.A., Doerzaph, Z.R.,
Influence of In-Vehicle Adaptive Stop Display on Driving Behavior and Safety,
ITS(17), No. 10, October 2016, pp. 2767-2776.
IEEE DOI 1610
Computer crashes BibRef

Ahmad, B.I., Murphy, J.K., Godsill, S.J., Langdon, P.M., Hardy, R.,
Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework,
SPMag(34), No. 2, March 2017, pp. 82-94.
IEEE DOI 1703
Automotive engineering BibRef

Yang, S.Y.[Shi-Yan], Ferris, T.K.[Thomas K.],
Supporting Multitracking Performance With Novel Visual, Auditory, and Tactile Displays,
HMS(50), No. 1, February 2020, pp. 79-88.
IEEE DOI 2001
Tracking, multiple displays, driving task. Driving performance, multisensory display, multimodal information processing, tracking BibRef

Lee, J., Kim, M., Lee, S., Hwang, S.,
Real-Time Downward View Generation of a Vehicle Using Around View Monitor System,
ITS(21), No. 8, August 2020, pp. 3447-3456.
IEEE DOI 2008
Feature extraction, Cameras, Vehicles, Roads, Distortion, Monitoring, Inductive charging, Around view monitor (AVM), obstacle filtering BibRef

Monzel, M.[Merlin], Keidel, K.[Kristof], Schubert, W.[Wolfgang], Banse, R.[Rainer],
A field study investigating road safety effects of a front brake light,
IET-ITS(15), No. 8, 2021, pp. 1043-1052.
DOI Link 2107
BibRef

Braun, M.[Michael], Weber, F.[Florian], Alt, F.[Florian],
Affective Automotive User Interfaces-Reviewing the State of Driver Affect Research and Emotion Regulation in the Car,
Surveys(54), No. 7, September 2021, pp. xx-yy.
DOI Link 2109
emotion regulation, automotive user interfaces, Affective computing BibRef

Rao, Q.[Qing], Chakraborty, S.[Samarjit],
In-Vehicle Object-Level 3D Reconstruction of Traffic Scenes,
ITS(22), No. 12, December 2021, pp. 7747-7759.
IEEE DOI 2112
Shape, Automobiles, Solid modeling, Object detection, Computer architecture, Neural networks, in-vehicle augmented reality BibRef

Kirkpatrick, K.[Keith],
The Road Ahead for Augmented Reality,
CACM(64), No. 12, December 2021, pp. 20-22.
DOI Link 2112
Automotive head-up displays (HUDs), systems that transparently project critical vehicle information into the driver's field of vision. BibRef

Jo, Y.[Young], Jang, J.Y.[Ji-Yong], Ko, J.[Jieun], Oh, C.[Cheol],
An In-Vehicle Warning Information Provision Strategy for V2V-Based Proactive Traffic Safety Management,
ITS(23), No. 10, October 2022, pp. 19387-19398.
IEEE DOI 2210
Accidents, Predictive models, Reliability, Real-time systems, Data models, Vehicular ad hoc networks, Roads, Connected vehicle, proactive traffic safety BibRef

Hassan, W.[Waseem], Raza, A.[Ahsan], Abdullah, M.[Muhammad], Hashem, M.S.[Mohammad Shadman], Jeon, S.[Seokhee],
HapWheel: Bringing In-Car Controls to Driver's Fingertips by Embedding Ubiquitous Haptic Displays into a Steering Wheel,
ITS(23), No. 10, October 2022, pp. 18526-18534.
IEEE DOI 2210
Wheels, Vehicles, Haptic interfaces, Visualization, Task analysis, Automobiles, Touch sensitive screens, Haptic interfaces design, in-car controls BibRef

Petrovai, A.[Andra], Nedevschi, S.[Sergiu],
Semantic Cameras for 360-Degree Environment Perception in Automated Urban Driving,
ITS(23), No. 10, October 2022, pp. 17271-17283.
IEEE DOI 2210
Semantics, Image segmentation, Urban areas, Task analysis, Prototypes, Automated driving, environment perception, image segmentation BibRef

Li, W.B.[Wen-Bo], Wu, L.[Lei], Wang, C.[Cong], Xue, J.Y.[Ji-Yong], Hu, W.[Wen], Li, S.[Shen], Guo, G.[Gang], Cao, D.[Dongpu],
Intelligent Cockpit for Intelligent Vehicle in Metaverse: A Case Study of Empathetic Auditory Regulation of Human Emotion,
SMCS(53), No. 4, April 2023, pp. 2173-2187.
IEEE DOI 2303
Regulation, Vehicles, Cognition, Metaverse, Visualization, Safety, Physiology, Human emotion, human-machine interaction, metaverse BibRef

Newton, D.C.[David C.], Hesselroth, J.[Jeremy], DiDomenica, R.[Rebecca],
Impacts of Dual Head-up Display Use on Workload in the Civil Aviation Flight Deck: Implications for Crew Coordination,
VAMR23(560-571).
Springer DOI 2307
BibRef

Valentin, Y.[Yves], Choi, H.[HeeSun],
Visual Attention in Extended Reality and Implications for Aviation Safety,
VAMR23(572-584).
Springer DOI 2307
BibRef


Lee, C.,
Combining Advanced Image Signal Processing With Accelerated Edge Inference for Automotive Viewing and Sensing Camera,
ICIP19(2458-2458)
IEEE DOI 1910
BibRef

Baek, J., Chelu, I.V., Iordache, L., Paunescu, V., Ryu, H., Ghiuta, A., Petreanu, A., Soh, Y., Leica, A., Jeon, B.,
Scene Understanding Networks for Autonomous Driving Based on Around View Monitoring System,
AutoDrive18(1074-10747)
IEEE DOI 1812
Object detection, Computer architecture, Cameras, Task analysis, BibRef

Nobori, K., Ukita, N., Hagita, N.,
A surround view image generation method with low distortion for vehicle camera systems using a composite projection,
MVA17(386-389)
DOI Link 1708
Cameras, Distortion, Image generation, Mathematical model, Shape, Solid modeling, Vehicles BibRef

Yeh, Y.T.[Yen-Ting], Peng, C.K.[Chun-Kang], Chen, K.W.[Kuan-Wen], Chen, Y.S.[Yong-Sheng], Hung, Y.P.[Yi-Ping],
Driver Assistance System Providing an Intuitive Perspective View of Vehicle Surrounding,
IVVT14(403-417).
Springer DOI 1504
BibRef

Kawamata, T., Kitahara, I., Kameda, Y., Ohta, Y.,
Lifted road map view on windshield display,
3DUI13(139-140)
IEEE DOI 1406
augmented reality BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Fog, Fog Detection, Mist, Visibility, Driver Assistance .


Last update:Mar 16, 2024 at 20:36:19