Abstract
This research work depicts different improvements done on self-sufficient vehicles and assessment is done dependent on instruments accessible through PC vision. To improve the vehicle's reaction and driving calculations, it ought to be given a similar viewpoint as an individual, with the goal that they can abstain from hitting into objects or smashing. Current days self-driving vehicles have accomplished various achievements to improve driving wellbeing and moving. Individuals rely upon their optical vision to recognize any approaching snags. By giving different boundaries, for example, path checking identification, traffic signals, approaching vehicles, and furthermore, the person on foot framework can be improved to expand the productivity of the accessible framework. Different OpenCV libraries have been created to give designers to make or redesign a current framework.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Xuan H, Liu H, Yuan J, Li Q (2018) Robust lane-mark extraction for autonomous driving under complex real conditions. IEEE Access 6:5749–5765. https://doi.org/10.1109/ACCESS.2017.2731804
Chen T, Lu S (2015) Context-aware lane marking detection on urban roads. In: 2015 IEEE international conference on image processing (ICIP), Quebec City, QC, 2015, pp 2557–2561. https://doi.org/10.1109/ICIP.2015.7351264
Andrade DC, Bueno F, Franco FR, Silva RA, Neme JHZ, Margraf E, Amaral R, Dos S (2018) A novel strategy for road lane detection and tracking based on a vehicle’s forward monocular camera. IEEE Trans Intell Transp Syst:1–11.https://doi.org/10.1109/tits.2018.2856361
Jacob, T. P., & Ravi, T. (2013). Optimization of test cases by prioritization.
Sterlin CS, Refonaa J, Ramalavanya R (2006) Secure data offloading using auction based mechanism
Velmurugan A, Ravi T (2017) Optimal symptom diagnosis for efficient disease identification using Somars approach. J Comput Theor Nanosci 14(2):1157–1162
Srinivasan N, Lakshmi C (2016) A novel prediction based tree structured data using machine learning techniques. Res J Pharm Biol Chem Sci 7(5):527–531
Krishna RSB, Aramudhan M (2014, July) Feature selection based on information theory for pattern classification. In: 2014 international conference on control, instrumentation, communication and computational technologies (ICCICCT). IEEE, pp 1233–1236
Nithya G, Shabu SL (2016) A novel framework in reusing the ontological health record. Res J Pharm Biol Chem Sci 7(3):215–220
Chan Y-C, Lin Y-C, Chen P-C (2019) Lane mark and drivable area detection using a novel instance segmentation scheme. In: 2019 IEEE/SICE international symposium on system integration (SII). https://doi.org/10.1109/sii.2019.8700359
Deng G, Wu Y (2018) Double lane line edge detection method based on constraint conditions Hough transform. In: 2018 17th international symposium on distributed computing and applications for business engineering and science (DCABES), Wuxi, 2018, pp 107–110.https://doi.org/10.1109/DCABES.2018.00037
Zhang X, Zhao R (2006) Automatic video object segmentation using wavelet transform and moving edge detection. In: 2006 machine learning and cybernetics, Dalin, China, 2006, pp 3929–3933.https://doi.org/10.1109/CMLC.2006.258748
Chang T, Chou C-J (2009) Rear-end collision warning system on account of rear-end monitoring camera, 2009, pp 913–917. https://doi.org/10.1109/IVS.2009.5164401
Lucas S (1993) Optical character recognition with Hough transform-based neural networks. In: IEE colloquium on Hough transforms, London, UK, 1993, pp P7/1–P7/5
Rama Mohan Reddy G (2017) Internet of things: power controlling through in smart mobiles. Int J Pure Appl Math (IJPAM) 118(17):791–800
Brumancia E, Sabarinathan S, Mugesh R (2015) Distributed wormhole detection algorithm for wireless sensor network. Int Rev Comput Softw 10(3):307–314
Christy A, Praveena A, Shabu J (2019) A hybrid model for topic modeling using latent dirichlet allocation and feature selection method. J Comput Theor Nanosci 16(8):3367–3371
Vijeya Kaveri V, Maheswari V (2019) Mining social data to identifying user behavior in med help forum on health-related topics. Int J Recent Technol Eng 8(2 Special issue 3):1306–1310
Kanth RR, Jacob TP (2019) A survey on privacy preserving schemes and performance with multiple and individual data sets. J Crit Rev 6(4):57–64
Jany Shabu SL, Jayakumar C (2018) Multimodal image fusion using an evolutionary based algorithm for brain tumor detection
Minu RI, Nagarajan G, Pravin A (2019) BIP: a dimensionality reduction for image indexing. ICT Express 5(3):187–191
Pravin A, Jacob TP, Asha P (2018) Enhancement of plant monitoring using IoT. Int J Eng Technol (UAE) 7(3):53–55
Subhashini R, Jeevitha JK, Samhitha BK (2019) Application of data mining techniques to examine quality of water. Int J Innov Technol Exploring Eng (IJITEE) 8(5S). ISSN: 2278-3075
Ashokkumar K, Deepak CV, Chowdary DVR (2019, Oct) Sign board monitoring and vehicle accident detection system using IoT. IOP Conf Ser Mater Sci Eng 590(1):012015
Jung JH, Shin Y, Kwon Y (2018) Extension of convolutional neural network with general image processing Kernels, TENCON 2018. In: 2018 IEEE region 10 conference, Jeju, Korea (South), 2018, pp 1436–1439. https://doi.org/10.1109/TENCON.2018.8650542
JanyShabu SL, Jaya Kumar C (2018) Multimodal image fusion and bee colony optimization for brain tumor detection. ARPN J Eng Appl Sci 13:1819–6608
Durga GR, Iswariya R, Pravin A (2006) Enhanced security and immediate acknowledge of moving object in surveillance
Nagarajan G, Minu RI, Devi AJ (2020) Optimal nonparametric bayesian model-based multimodal BoVW creation using multilayer pLSA. Circuits Syst Signal Process 39(2):1123–1132
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pavan Satish, J., Harsha, S., Prem Jacob, T., Pravin, A., Nagarajan, G. (2022). Milestones in Autonomous Vehicle and Evaluation Using Computer Vision. In: Borah, S., Mishra, S.K., Mishra, B.K., Balas, V.E., Polkowski, Z. (eds) Advances in Data Science and Management . Lecture Notes on Data Engineering and Communications Technologies, vol 86. Springer, Singapore. https://doi.org/10.1007/978-981-16-5685-9_53
Download citation
DOI: https://doi.org/10.1007/978-981-16-5685-9_53
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5684-2
Online ISBN: 978-981-16-5685-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)