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@article{179786,
        author = {Mr. Siddhesh. L. Nangrale and Dr.Satyawan L.Dhondge and Dr.Rushikesh V.Pakhale and Mr.Rahul.V.Pande and Mr.Srinivas R.Chinchkhedkar and Mr.Anil B.Wakankar and Mrs.Jayashree A.Kakade and Mrs.Sonali R.Deshmukh},
        title = {Advancements in Real-Time Path Planning and Steering Control for Autonomous Vehicles: A Review Journal},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8472-8475},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179786},
        abstract = {Driving vehicles, often referred to as 
autonomous vehicles, depend on a sophisticated 
technological system to navigate and function without 
the need for human assistance. To sense their 
surroundings, autonomous cars are outfitted with a 
variety of sensors. Lidar, radar, cameras, ultrasonic 
sensors, and others are examples of these sensors. The 
perception system analyses information from multiple 
sensors to gain a thorough understanding of the 
vehicle's surroundings. In order to recognize and track 
barriers, road conditions, and traffic participants, this 
calls for object detection, classification, and tracking 
algorithms. In order to determine their location and 
make travel plans, autonomous cars depend on 
extremely accurate and detailed maps.},
        keywords = {Maps, SLAM, Self-driving vehicles,  Camera, GPS},
        month = {May},
        }