International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 02 | Feb 2024
p-ISSN: 2395-0072
www.irjet.net
Externally installable ADAS for manual systems Ms. Shital Dhumane1, Tejas Gangurde2, Aakanksha Khole3, Tejas Bhosale4 1Professor, Electronics and Telecommunication
MVP'S Karamveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik 2Student, BE Electronics and Telecommunication MVP'S Karamveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik 3Student, BE Electronics and Telecommunication MVP'S Karamveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik 4Student, BE Electronics and Telecommunication MVP'S Karamveer Adv. Baburao Ganpatrao Thakare College of Engineering, Nashik ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - There is a broad usage of automobile vehicles in
should be mounted with required sensors that interpret and process the data in real time. The sensors which can be used are Radars, Global Positioning System (GPS), and LIDARs. Among all of these the Lidar sensor is most implementable and suitable for self-driving cars. Speaking of the LIDAR sensor, it is used for obstacle detection which detects the obstacles in 360°. The main aim of LIDAR is to detect and analyze whether the object is real or fake and how to avoid it. This mechanism of obstacle avoidance is not only limited to self-driving cars. This same mechanism can also be implemented in robots for transfer of goods, home cleaning etc.
the Transport and Logistic industry, In-house transportation as well as roadways transportation. But this process demands for a huge man power which brings up human physical limits in the process. During roadways, drivers are employed to drive the heavy transport vehicles for a long duration which makes transportation slow and less efficient, as human drivers require rest to drive at full focus. This human limitation increases the delivery time. In-House transportation in places such as large warehouses where ample of human labor is employed to load and unload the goods, is still a human dependent process, all these manual driving and transportation can be automated using ADAS (Advanced driver assistance systems) By developing an autonomous selfdriving vehicle for transportation of goods in large warehouses, efficiency and productivity of the task is improved and human labor is reduced. The primary purpose of the work is to develop an autonomous vehicle of level 1 to level 2 ADAS for the transport and logistics industry and a self-driving driverless vehicle in large warehouses. This work architecture will be focused on installation of these ADAS systems on preexisting vehicles externally making the system portable. These autonomous vehicles will consist of LiDAR sensors for 3D mapping and obstacle detection, and microcontrollers will be used to process the data generated by the LiDAR sensor and give inputs to the vehicle accordingly. This work will deliver autonomous vehicle architecture and an externally installable system for the transport and logistics industry.
2. LITERATURE REVIEW Angelo Nikko Catapang and Manuel Ramos [1], Presents that the study focuses on inexpensive 2D lidar, especially the lowcost LIDAR-Lite v1, and evaluates its dependability, efficacy, and potential integration with other sensors with the goal of improving autonomous vehicles' obstacle detection in urban settings. Deepali Ghorpade, Anuradha D. Thakare, Sunil Doiphode [2], It presents through the use of point cloud segmentation, clustering, and a convex hull algorithm validated via MATLAB simulation, the suggested approach improves visibility, path planning, and the effectiveness of obstacle avoidance. Nikolaos Baras, Georgios Nantzios, Dimitris Ziouzios, Minas Dasygenis [3], it elaborates for real-time obstacle avoidance and navigation, this study uses RPLidar and Raspberry Pi, adding Wi-Fi for indoor positioning. By effectively managing sensor data, the suggested algorithm for dynamic vehicle control tackles the difficulties associated with autonomous driving.
Key Words: LiDar, Obstacle detection, Obstacle avoidance
1. INTRODUCTION As we are observing that there is great enhancement in ADAS technology. Due to this Autonomous vehicle are taking a big leap in the automotive industry. In this field the researchers are facing the difficulty of safety of passengers, besides the biggest challenge of self driving cars is to face, judge and react correctly to the obstacles that come across. To face and overcome this difficulty the self-driving cars
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T R Madhavan, M Adharsh [4], It Presents that the proven MATLAB-based obstacle detection and avoidance algorithm, providing a simple yet effective approach to the advancement of obstacle avoidance technologies.
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