Implementation of a PID Controller for Autonomous Vehicles with Traffic Light Detection in CARLA

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Implementation of a PID Controller for Autonomous Vehicles with Traffic Light Detection in CARLA

Shrivastava, Shivanshu / Somthankar, Anuja / Pandya, Vedant / Patil, Megharani

In the last decade, self-driving cars have witnessed a meteoric rise in popularity due to exceptional research in the fields of Edge Computing and Artificial Intelligence. Nowadays, autonomous vehicles use elaborate mathematical models in tandem with sophisticated Deep Learning techniques to navigate safely. PID Controllers have been used ubiquitously by researchers for autonomous vehicles. Deep Learning techniques like YOLO allow autonomous vehicles to be able to detect a wide range of objects in their surroundings leading to better responses. In this paper, a PID controller has been implemented to navigate a vehicle in CARLA Simulator. A Custom Traffic Light detection model has also been integrated with the controller to respond to traffic lights in the path of the vehicle.

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Dokumentinformationen

Titel :

Implementation of a PID Controller for Autonomous Vehicles with Traffic Light Detection in CARLA

Weitere Titelangaben:

Lect. Notes in Networks, Syst.

Beteiligte:

Balas, Valentina Emilia (Herausgeber:in) / Semwal, Vijay Bhaskar (Herausgeber:in) / Khandare, Anand (Herausgeber:in) / Shrivastava, Shivanshu (Autor:in) / Somthankar, Anuja (Autor:in) / Pandya, Vedant (Autor:in) / Patil, Megharani (Autor:in)

Erschienen in:

Intelligent Computing and Networking ; Kapitel : 1 ; 1-13

Lecture Notes in Networks and Systems ; 632

Erscheinungsdatum :

2023-03-22

Format / Umfang :

13 pages

ISBN :

978-981-99-0071-8 , 978-981-99-0070-1

ISSN :

2367-3389 , 2367-3370

DOI :