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Optimizing Headlamp Focusing Through Intelligent System as Safety Assistance in Automobiles

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Advances in Manufacturing Technology

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

One of the major challenges faced by the automobile industries is to reduce the chance of occurring accidents and also to enhance the production of the safest automobiles. Even though many safety devices are available in the vehicles, the highest fatal terrific accidents occur on curved roads and junctions at nighttime. Also, the accidents occur due to glare from the fore coming vehicles. Because, in most of the cases, late recognition of objects in the zone plays a key role, and this happens due to improper forward lighting. So the main aim of this research is to provide enhanced nighttime safety measures by developing steerable dynamic headlights by considering most of the cases such as glare, curved roads, hill curves, and junctions. Also to react optimally based on the surrounding environment by interpreting the surrounding properly, an intelligent system has been developed to control the optimal movement of the headlight. Different kinds of tests were done on critical parts of the system, in order to determine its accuracy, its response time, and the system impact. Finally, the results acquired from these various tests are found satisfactory. It is a low-cost setup with minor modification on the doom of the headlight which will prevent the accidents due to improper lighting at nighttime.

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Correspondence to S. K. Rajesh Kanna .

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Rajesh Kanna, S.K., Lingaraj, N., Sivasankar, P., Raghul Khanna, C.K., Mohanakrishnan, M. (2019). Optimizing Headlamp Focusing Through Intelligent System as Safety Assistance in Automobiles. In: Hiremath, S., Shanmugam, N., Bapu, B. (eds) Advances in Manufacturing Technology. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6374-0_59

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  • DOI: https://doi.org/10.1007/978-981-13-6374-0_59

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6373-3

  • Online ISBN: 978-981-13-6374-0

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