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Hiray, Swapnaja
- Autonomous Driving Using Machine Learning
Authors
1 Computer Department, Sinhgad College of Engineering, Pune, Maharashtra, IN
Source
Journal of Advances in Engineering Sciences, Vol 14, No 1-2 (2017), Pagination: 19-22Abstract
An autonomous car is a vehicle which is capable of operating i.e. driving on its own without human intervention. Until 2015, a fully autonomous car was just a dream. But due to rapid technological advances, the dream eventually became a reality. Autonomous vehicles which were able to perform just basic operations like moving forward or backwards with the help of a remote control are becoming fully autonomous by the day. The hideous looking autonomous car which had a ton load of sensors mounted on the roof is now becoming sleeker and nattier. Autonomous vehicles detect the surroundings using various techniques such as RADAR, LIDAR, GPS, odometer and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage viz. wrong way, no right turn, no left turn, etc. Autonomous cars have control systems that are capable of analysing sensory data to distinguish between different cars on the road, which is very useful in planning a trajectory in which the car should maneuvre in order to avoid a collision. This paper focuses on autonomous driving and demonstrates how a car will be able to drive without any human intervention by processing the input data taken from the sensors and applying various machine learning techniques to it, and thus making the correct decisions.Keywords
Deconvolution, Hough Transform, Internet of Things, Lane Detection, Machine Learning, Neural Networks, Swarm Intelligence.
References
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- CNET www.cnet.com
- ColdfusionTV www.youtube.com/coldfusiontv
- Coursera Machine Learning Course www.coursera.org
- SAE www.sae.org
- Tesla Motors www.tesla.com
- Use of Open-Source Geo-Informatics Technologies for Preparation of Primary Level Map and Contour Map
Authors
Source
Digital Image Processing, Vol 10, No 7 (2018), Pagination: 136-140Abstract
Geographical Information System which allow collection of physical data rather easily, with speed and on repetitive basis, and together with GIS will help to analyze the data spatially, offering possibilities of generating various options for development (modeling) of village, thereby optimizing the whole planning process. These information systems also offer interpretation of physical data with other socio-economic data, and thereby providing an important linkage in the planning process and making it more effective and meaningful. This helps to unify information on common platform but also enables updating information as and when required with ease and precision. In this paper we have discussed the preparation of primary level map and contour map will involve mapping of Morani village using geospatial technology, integration of geospatial, identification of development model and implementation of the same for town planning of the village.