2 publications
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Forward Collision Avoidance System in a Self-driving Remote Controlled Car: An Application of Machine IntelligenceBy zankhana shah, Tirth Patel, Vatsal Patel, Adhunik Rajput
Abstract: Abstract: The paper discusses the experimental vision-based forward collision avoidance system (FORCAS), an autonomous bot car based on machine learning using Raspberry Pi as a processing platform. Using HD camera images as a primary input, Raspberry Pi combines processes and predict path using convolutional neural network and distance estimation models. It distinguishes the stationary objects on a drivable road surface and estimates their distances from a single camera’s view. Classification …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 13–18 Read article →
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Image Classification using Convolutional Deep Neural NetworksBy Sudhir Vegad, Prashant Italiya, zankhana shah
Abstract: Thousands of images are generated every day, which implies the necessity to classify and access them by an easy and faster way. The main objective of classification is to identify the features occurring in the image. Neural networks (NNs), inspired by biological neural system, are a family of supervised machine learning algorithms that allow machine to learn from training instances as mathematical models. NNs have been widely applied in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 7–14 Read article →