As autonomous vehicles (AV) are closer to becoming reality, it becomes mandatory to be able to characterise the performance of the sensors before production. This analysis calls for large amounts of ground truth data to be established with precise information about the real world position and pose of the objects around the vehicle. In this talk, we would like introduce to AI enabled sensor data analytics tool realized with novel deep learning techniques with support for plethora of AV sensors like RADAR,LIDAR ,Camera etc., which can help to reduce significant manual efforts thus reducing the production time of AV.
Manoj CR is currently working as a global lead for AI and Deep Learning for AV and ADAS in TCS. Primarily responsible for conceptualizing and designing new AV and ADAS features for Car OEMs and Tier 1 suppliers across the globe and identifying and developing futuristic solutions and accelerators for Autonomous vehicle development in TCS. Manoj has 16 years of experience in new product development in AI technologies in automotive, consumer devices and industrial applications. He is a primary inventor of 12 patents granted in US, Japan, India and presented papers in renowned international conferences and journals.