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@article{161270,
        author = {Meghashyam M and Dr. K R Prakash},
        title = {SENSORS AND PERCEPTION TECHNOLOGIES FOR INDUSTRIAL AUTOMATION: A COMPREHENSIVE REVIEW},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {3},
        pages = {111-118},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161270},
        abstract = {After over two decades of extensive research, Advanced Driver Assistance Systems (ADAS) have become commonplace in modern vehicles available in the market. Although Automated Driving systems are still in the research phase and have limited capabilities, they are now undergoing early commercial tests on public roads. These systems heavily rely on the information provided by on-board sensors, which enable the description of the vehicle's state, its environment, and other entities. Therefore, the selection and arrangement of sensors play a crucial role in the design of these systems. This survey aims to review existing, innovative, and upcoming sensor technologies that are applied to common perception tasks in ADAS and Automated Driving. Additionally, it provides a historical overview of the most significant demonstrations in the field of Automated Driving, with a focus on the sensing setup utilized. Finally, the article offers insights into the future challenges faced by sensing technologies and perception, concluding with an overview of commercial initiatives and manufacturers' alliances that demonstrate the market's interest in sensor technologies for Automated Vehicles.},
        keywords = {Automated Driving, LiDAR, Radar, Computer Vision, Perception.},
        month = {},
        }