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
02:51 MIN
Overview of the data-driven development lifecycle for cars
Developing an AI.SDK
48:06 MIN
Defining the architecture and technology for driverless parking
The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges
07:47 MIN
Developing the software-defined vehicle (SDV)
Harnessing the Power of Open Source's Newest Technologies
19:47 MIN
Q&A on tech stack, safety, and testing
Building a hypercar from scratch
30:10 MIN
Overcoming challenges in automotive software deployment
Intelligent Data Selection for Continual Learning of AI Functions
27:16 MIN
Exploring real-world automotive use cases from Bosch
On developing smartphones on wheels
19:10 MIN
Building an AI-ready architecture for autonomous driving
What non-automotive Machine Learning projects can learn from automotive Machine Learning projects
29:07 MIN
The multidisciplinary future of automated driving development
Automated Driving - Why is it so hard to introduce
Featured Partners
Related Videos
1:51:43On developing smartphones on wheels
Hans-Jürgen Eidler
48:54Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies
Oliver Zimmert
31:23Automated Driving - Why is it so hard to introduce
Sayed Bouzouraa
30:13Code to Road in < 12 hours
Sebastian Roßner & Lukas Sucher
38:12Developing an AI.SDK
Daniel Graff & Andreas Wittmann
1:47:33The future of automotive mobility: Upcoming E/E architectures, V2X and its challenges
Georg Kühberger & Manuel Pascual
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
Related Articles
View all articles
From learning to earning
Jobs that call for the skills explored in this talk.
Software Development Engineer - Remote Driving (F/H)
Alstom
DevOps
Docker
Kubernetes
Computer Vision
Software Architecture
+1
Robotics Integration & Autopilot Interface Engineer (ROS 2 / PX4 / MAVLink)
autonomous-teaming
Remote
GIT
Routing
Continuous Integration
Robotics Integration & Autopilot Interface Engineer (ROS 2 / PX4 / MAVLink)
autonomous-teaming
Remote
GIT
Routing
Continuous Integration