Traffic light detection and control with connected vehicle for automated car using ML algorithm
| Autor: | N. Bharatha Devi, V R Balaji, B B Beenarani, K Kala |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International journal of health sciences. :47223-47233 |
| ISSN: | 2550-696X 2550-6978 |
| Popis: | The paper centers to plan a self-driving vehicle model with the assistance of Raspberry Pi as a handling chip. The model will perform five undertaking's that remember self-driving for track, identifying traffic signal, rain identification, fog discovery and will help in impediment recognition and crash evasion. The essential information from this present reality to the vehicle is given by camera. It utilizes a HC-SR04 following sensor module that data to the framework through raspberry pi to our framework which is associated with PC with a similar organization. The gathered information is then prepared and examined and pertinent data and subtleties is made back aware of vehicle for proper moves to be initiated. The gamble of human blunders is in this way kept away from securely and keenly as the vehicle can arrive at the given destination. Path Detection, Obstacle Detection, Traffic Light Detection, Rain and Fog are distinguished. The vehicle is halted when impediment and traffic signal red is noticed. As a section one static is planned with Arduino to make Bluetooth (HC-05) communication between the vehicles. This association between two vehicles will keep away from accidents. |
| Databáze: | OpenAIRE |
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