Abstract
The real-time heads-up display (HUD) will enable the human operator to have a new sense and perspective to driving. The proposed Heads-up display (HUD) detects vehicles, civilians, and obstacles by allowing the user to stay focused on driving. It has a navigator map to keep the user aware of their current location and helps to track their movement. It also tracks speed with an overlayed speedometer and offers fail-safe emergency protocol to alert the emergency contacts when a crash is detected. All these features are accessible by almost everyone who have access to a mobile device and is very cost-effective. The Heads-up display serves as an effective medium between the car and human operator. The operator can set any of the three models: SSD, YOLO v2 and v3 based on their device performance level. If it is a lower-end device, the SSD model performs faster and efficient. If it is a high-end device, the performance can be improved by using YOLO higher version models.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ma X, Jia M, Hong Z, Kwok APK, Yan M (2021) Does Augmented-reality head-up display help? A preliminary study on driving performance through a VR-simulated eye movement analysis. IEEE Access 9:129951–129964
Taheri Tajar A, Ramazani A, Mansoorizadeh M (2012) A lightweight Tiny-YOLOv3 vehicle detection approach. J Real-Time Image Process 1–13.
Wu PJ, Chuang CH, Chen CY, Wu JH, Lin BS (2020) An augmented reality head-up display system with a wide-view eyebox. Int J Optics
Park J, Park W (2019) A review on the interface design of automotive head-up displays for communicating safety-related information. In: Proceedings of the human factors and ergonomics society annual meeting, vol 63. No. 1. Sage CA: Los Angeles, CA: SAGE Publications
Pauzie A (2015) Head up display in automotive: a new reality for the driver. In: International conference of design, user experience, and usability. Springer, Cham
Cano E, González P, Maroto M, Villegas D (2018) Head-up displays (HUD) in driving. Hum-Comput Interact 1–7
Mahajan SM, Khedkar SB, Kasav SM (2015) Head up display techniques in cars. Int J Eng Sci Innov Technol 4(2):119–124
Lee J-H, Yanusik I, Choi Y, Kang B, Hwang C, Park J, Nam D, Hong S (2020) Automotive augmented reality 3D head-up display based on light-field rendering with eye-tracking. Opt Exp 28(20):29788–29804
Currano R, Park SY, Moore DJ, Lyons K, Sirkin D (2021) Little road driving hud: heads-up display complexity influences drivers’ perceptions of automated vehicles. In: Proceedings of the 2021 CHI conference on human factors in computing systems
Choi J, Sung K, Yang Y (2007) Multiple vehicles detection and tracking based on scale-invariant feature transform. IEEE Intell Transp Syst Conf 2007:528–533. https://doi.org/10.1109/ITSC.2007.4357684
Sun Z, Bebis G, Miller R (2006) On-road vehicle detection: a review. IEEE Trans Pattern Anal Mach Intell 28(5):694–711. https://doi.org/10.1109/TPAMI.2006.104
Haris KM, Fatima NS (2021) Sentinel–a neighbourhood based live location streaming safety APP for women and children. Revista Geintec-Gestao Inovacao E Tecnologias 11(4):2273–2293
Jakkhupan W (2014) A prototype of mobile speed limits alert application using enhanced HTML5 geolocation. In: International conference on computational collective intelligence. Springer, Cham
Boukhary S, Colmenares E (2019) A clean approach to flutter development through the flutter clean architecture package. In: 2019 international conference on computational science and computational intelligence (CSCI), pp 1115–1120. https://doi.org/10.1109/CSCI49370.2019.00211
Zandbergen P, Barbeau S (2011) Positional accuracy of assisted GPS data from high-sensitivity GPS-enabled mobile phones. J Navig 64(3):381–399. https://doi.org/10.1017/S0373463311000051
Sabiyath Fatima N, Steffy D, Stella D, Nandhini Devi S (2020) Enhanced performance of android application using recycler view. In: Advanced computing and intelligent engineering. Springer, Singapore, pp 189–199
Steinberger F, Proppe P, Schroeter R, Alt F (2016). CoastMaster: an ambient speedometer to gamify safe driving. In Proceedings of the 8th international conference on automotive user interfaces and interactive vehicular applications, pp 83–90
Szabo R, Gontean A, Burta A (2021) The development of a head-up display (HUD) app on the android mobile operating system. In: 2021 IEEE 27th international symposium for design and technology in electronic packaging (SIITME), 2021, pp 5–8. https://doi.org/10.1109/SIITME53254.2021.9663719.aa
Bai B (2011) Portable heads up display. ECET, vol 496. Spring
Imamura M, Kobayashi K, Watanabe K (2003) Real time positioning by fusing differential-GPS and local vehicle sensors. In: SICE 2003 annual conference (IEEE Cat. No.03TH8734), vol.1, pp 778–781
Burta A, Szabo R, Gontean A (2021) The creation method of a head-up display for cars using an iPhone. In: 2021 fifth world conference on smart trends in systems security and sustainability (WorldS4), 2021, pp 303–306. https://doi.org/10.1109/WorldS451998.2021.9513996
Chouksey S, Sirsikar S (2016) A prototype of low cost heads up display for automobiles navigation system. In: 2016 international conference on computing, analytics and security trends (CAST), pp 205–210. https://doi.org/10.1109/CAST.2016.7914967
Yoon C, Kim K, Baek S, Park S (2014) Development of augmented in-vehicle navigation system for Head-Up Display. In: 2014 international conference on information and communication technology convergence (ICTC), pp 601–602. https://doi.org/10.1109/ICTC.2014.6983221
Dr Nishizawa S, Cheok K, Smid E, Berge M, Lescoe M (1997) Heads-up-display collision warning and traffic monitoring system
Walenchok A, Seifert N, Reed J, Humphrey J (2018) Navigational heads-up display. In: Williams honors college, honors research projects, p 690
Raj JS (2021) Blockchain framework for communication between vehicle through iot devices and sensors 3(2):93–106. Accessed March 2021
Chen JIZ, Zong JI (2021) Automatic vehicle license plate detection using K-means clustering algorithm and CNN. J Electr Eng Autom 3(1):15–23
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Haris, K.M., Fatima, N.S., Albeez, S.A. (2023). Advanced Vehicle Detection Heads-Up Display with TensorFlow Lite. In: Shakya, S., Balas, V.E., Haoxiang, W. (eds) Proceedings of Third International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 587. Springer, Singapore. https://doi.org/10.1007/978-981-19-7874-6_47
Download citation
DOI: https://doi.org/10.1007/978-981-19-7874-6_47
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-7873-9
Online ISBN: 978-981-19-7874-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)