How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution

How do you test an autonomous car for billions of miles? The answer isn't on the road, but in a digital twin that simulates countless scenarios.

#1about 12 minutes

Overview of DXC Loft's automotive solutions and expertise

The company provides end-to-end automotive solutions, including autonomous drive and digital cockpit, for major OEMs and tier-one suppliers.

#2about 3 minutes

Understanding the disruptive shift to high-level vehicle autonomy

Moving from driver-assist (Level 2) to full autonomy (Level 3+) requires a massive increase in R&D investment and a shift to data-driven development.

#3about 11 minutes

Managing massive data scales with the Robotic Drive platform

The Robotic Drive solution uses a geo-distributed data lake and containerized computing clusters to ingest, store, and process petabytes of real-world and virtual driving data.

#4about 13 minutes

Using virtual validation and simulation for scalable testing

Digital twins and gaming engine-based simulations are used to test autonomous functions across billions of virtual miles, covering diverse environmental conditions and edge cases.

#5about 8 minutes

Integrating autonomous software into complex vehicle hardware

Deploying algorithms into the vehicle requires navigating a complex embedded environment with safety-critical microcontrollers, certified operating systems, and standards like ISO 26262.

#6about 29 minutes

The automotive industry's shift to software-centric development

The traditional hardware-centric OEM model is evolving into a software-centric approach where OEMs integrate software from multiple suppliers using rapid CI/CD pipelines.