Ulrich Wurstbauer & Mohamed Nassar
How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution
#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.
Related jobs
Jobs that call for the skills explored in this talk.
Matching moments
29:07 MIN
The multidisciplinary future of automated driving development
Automated Driving - Why is it so hard to introduce
27:16 MIN
Exploring real-world automotive use cases from Bosch
On developing smartphones on wheels
07:47 MIN
Developing the software-defined vehicle (SDV)
Harnessing the Power of Open Source's Newest Technologies
17:57 MIN
Challenge two: Adapting legacy architectures and processes
How Machine Learning is turning the Automotive Industry upside down
26:07 MIN
Why the software-defined vehicle is the ultimate scale game
Software defines the vehicle: Why customers and developers will love cars even more
00:43 MIN
The automotive industry's shift to software-defined vehicles
Cybersecurity for Software Defined Vehicles
30:03 MIN
Q&A on development, challenges, and platform security
Sustainable Mobility – Giravolta
19:31 MIN
Scaling the testing pipeline across multiple levels
Code to Road in < 12 hours
Featured Partners
Related Videos
1:51:43On developing smartphones on wheels
Hans-Jürgen Eidler
31:23Automated Driving - Why is it so hard to introduce
Sayed Bouzouraa
48:54Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies
Oliver Zimmert
30:13Code to Road in < 12 hours
Sebastian Roßner & Lukas Sucher
1:47:33The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges
Georg Kühberger & Manuel Pascual
38:12Developing an AI.SDK
Daniel Graff & Andreas Wittmann
21:47Car's are Technology on Wheels - Impact of Software and IT Competence in Automotive
Rahima Yakoob
26:55How Machine Learning is turning the Automotive Industry upside down
Jan Zawadzki
From learning to earning
Jobs that call for the skills explored in this talk.
Embedded Softwareentwickler (m/w/d)
Arnold NextG GmbH
München, Germany
Intermediate
Embedded C
Functional safety
Machine Learning & Data Engineer - AI for Autonomous Systems
RIB Deutschland GmbH
Python
Machine Learning
Robotics Integration & Autopilot Interface Engineer (ROS 2 / PX4 / MAVLink)
autonomous-teaming
Remote
C++
GIT
Routing
Continuous Integration
Autonomous Vehicles Scientist for Teleoperated Level 4 Vehicles on Public Roads
Technische Universität München
C++