OBSTACLE DETECTION FOR VEHICLES USING SENSORS AND ARTIFICIAL INTELLIGENCE

Pankti Bhatt, Dr. Jeegar Trivedi

Abstract


Obstacle distinguishing proof is one of the rule parts of the control system and course of self-overseeing vehicles. With the snappy headway of clever robot advancement, Obstacle recognizable proof in the dark environment is a key development of astute transportation and self-decision robot course. Obstacle distinguishing proof and avoidance is minimal level of capacity, which suggests that it is the foundation of other bigger measure of capacities completing safely. This paper concentrates on related work accomplished for recognition of articles, which can be helpful to identify snags coming in the method for vehicles with the goal that mishaps can be forestalled. We give survey of different obstruction identification methods with their confinements that are proposed by different analysts as of late.

Keywords


Intelligent transportation system; Obstacle Detection; RGB-D sensor; AGV; EPROM; Sensors; Neural Network

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DOI: https://doi.org/10.26483/ijarcs.v8i9.5002

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