Forward Collision Avoidance System in a Self-driving Remote Controlled Car: An Application of Machine Intelligence
By: Shah, Zankhana H
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Contributor(s): Patel, Tirth.
Publisher: New Delhi STM Journals 2019Edition: Vol.6(3), Sep-Dec.Description: 13-18p.Subject(s): Computer EngineeringOnline resources: Click here
In:
Journal of artificial intelligence research and advances (JoAIRA)Summary: 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 algorithms run on real-time images controls the steering of the car. On the basis of a detected object, it decides to avoid, stop or run over it.
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School of Engineering & Technology Archieval Section | Not for loan | 2021122 |
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 algorithms run on real-time images controls the steering of the car. On the basis of a detected object, it decides to avoid, stop or run over it.
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