Skip to content Skip to sidebar Skip to footer

Strategy for Minimizing the Labelling Cost, Time and Efforts through Self-Supervised Learning

Hope you all aware that there will be huge cost, efforts and timeline involved in creating a deep learning application or system in the enterprise level with the higher target performance.  The Conventional Model  The consideration to bring the balance between the deep learning application performance and the training cost, time and efforts is very…

Read More

Way to bring in X-Redundancy in Message Discovery Server using ROS2 Fast DDS for Autonomous Vehicle Applications

Reader’s Note The automotive regulations and standards always consider the functional safety of the autonomous driving system by enabling the ‘x’ or multiple redundancy in all aspects such as triple redundancy controllers, dual redundancy networks, redundant data hubs, etc. In this current article, I would like to share the approach to enable redundancy in message discovery…

Read More

The hit of Metaverse in Self Driving Application Development – The Alternate for the Reality

Preamble I always wanted to move forward and utilize the available latest advancement in technology for self-driving vehicle development. As we all know that the digital twin or the simulators are always play a major role in autonomous vehicle application integration and testing through the software-in-loop and hardware-in-loop methods. Due to the drawbacks currently available…

Read More

Digital Twin for Self-Driving Cars – Industry Acknowledged Simulators (Open & Proprietary) for the Autonomous Vehicle Application Development

Preamble In the current self-driving vehicle application development industry, there are lots of applications that are being designed, developed, integrated, and tested before deployment over the roads. We are all well aware that the integration and testing of the various modules such as navigation, perception, localization, and also for various kinds of critical scenarios are…

Read More

Unlocking the Potential of Unrecognized Autonomous Visualization Solutions in Developing Core Autonomy Stack

Preamble In the current self-driving vehicle application development industry, many algorithms and applications are being designed, developed, integrated, and tested before deployment on the roads. We are all aware that fine-tuning the systems of self-driving vehicle applications such as drive-by-wire, navigation, perception, localization, and critical scenarios in a real-time environment is challenging and requires a…

Read More

Maximizing Mining Productivity: Empowering Autonomous Vehicles with Self-Cleaning Sensors and Systems to Eliminate Costly Downtime

Abstract Based on my extensive experience in working with ADAS (Advanced Driver Assistance Systems) and multi-level autonomy, I have always been driven to devise an optimal and efficient self-cleaning solution for autonomous vehicle sensors and systems. This solution would be specifically designed for the challenging conditions present at mining sites and would incorporate cutting-edge technologies…

Read More