Autonomous Drive

Research is a systematic investigative process, LTTS work in Autonomous drive employed to increase or revise knowledge base and work with various OEMs and Tier-1s by discovering new facts and implementations in limited time. Although many problems turn out to have several solutions (the means to close the gap or correct the deviation), difficulties arise where such means are either not obvious or are not immediately available. Similarly, we faced much challenges in developing Autonomous application such as making Sensor fusion model, Deep learning architecture, Machine learning, Lidar based object detection and developing control model which consume lot of time in developing.

We identified MATLAB as key tool that provides significant toolboxes that enable us to move faster and precise in proving the concepts. AEB (Automated Emergency Braking) is an important feature in automated driving systems, where the goal is to provide correct, timely, and reliable control signal for the system to act on impending collision with the objects in front. AEB has various practical challenge.  Single sensor (monocular camera) system would be bright one for ADAS system, whereas system taking action would need absolute certainty. The supplementary sensors are essential.

In this session, we will explain how the challenges in autonomous system development had been addressed using MATLAB and Simulink.