NVIDIA and system integrator Tata Consultancy Services (TCS) experts will share the key pillars of autonomous driving development and infrastructure, focusing on object detection inference pipeline for deploying self-driving systems at scale.
Comprehensively training the robust deep neural networks that make up an autonomous vehicle’s perception system requires massive amounts of labeled data. We’ll share insights on optimization techniques and full stack architectural components to maximize pre-trained model inference performance.
This webinar will cover the data annotation pipeline in the autonomous vehicle training addressing the sensitivity to variations in data distribution, data type, annotation requirements, quality parameters, the volume of data, and the effectiveness of automation critical to achieving optimal annotation accuracy and speed.
