Center of Excellence in Autonomous Mobility at Manipal Institute of Technology (MIT), Bengaluru
Decibels Lab's EV Lab Setup at Manipal Institute of Technology (MIT), Bengaluru
The Center of Excellence in Autonomous Mobility (COE-AM) was established at Manipal Institute of Technology (MIT), Bengaluru, in collaboration with Decibels Lab, marking a major milestone in advancing education and research in autonomous vehicle technologies. This cutting-edge facility provides students, researchers, and faculty with the infrastructure to explore and innovate across various domains of intelligent transportation systems.
The lab is equipped with advanced kits and training setups, including:
These resources enable students to work on perception, localization, and sensor fusion—the backbone of autonomous driving. Learners gain the opportunity to experiment with real-time data acquisition, environment sensing, and object detection using industry-standard technologies.
In addition, the Robots Training Arena provides a controlled environment for testing algorithms in navigation, path planning, and obstacle avoidance, bridging the gap between theory and practice. By integrating multiple sensor technologies, students can develop and validate robust sensor fusion algorithms critical to safe and reliable autonomous vehicle operations.
Students and faculty at MIT benefit from hands-on experience with these tools, conducting research projects and building prototypes that address real-world challenges in autonomous mobility. This prepares them for careers in ADAS (Advanced Driver Assistance Systems), robotics, and future mobility solutions.
Looking ahead, MIT and Decibels Lab plan to scale the center’s capabilities with more advanced R&D in perception, control, and decision-making for autonomous vehicles. The center will serve as a hub for innovation and collaboration with industry leaders, driving the development of safe, efficient, and sustainable autonomous mobility solutions.
Build practical skills in camera, Lidar, Radar, and IMU-based perception.
Gain in-depth knowledge of sensor fusion techniques for autonomous navigation.
Develop expertise in localization, object detection, and path planning.
Foster hands-on learning and innovation in autonomous systems.
Create opportunities for collaborative R&D with industry partners.
Prepare students for industry-ready roles in autonomous mobility and robotics.
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