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WeAreDevelopers LIVE • Jul 21, 2020

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

Ulrich Wurstbauer , Mohamed Nassar

How do you validate autonomous vehicles without driving billions of physical miles? Discover how digital twins and continuous integration drive the software-defined mobility revolution.

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#1 about 4 min

Introduction to the speakers and topic

Meet the technical directors detailing an end-to-end framework for autonomous drive development.

#2 about 3 min

Organizational footprint in the autonomous driving sector

A look at the scale and coverage of specialized vehicle engineering centers supporting major vehicle manufacturers.

#3 about 3 min

Portfolio of automotive solutions and software houses

The transition to cohesive software houses enables modern delivery models across enterprise analytics to user experience design.

#4 about 4 min

Data management and embedded software for vehicle automation

Handling wide-scale data collection bridges complex sensor fusion implementations supporting next-generation vehicle functionality.

#5 about 3 min

End-to-end data flow in autonomous car hardware

Electronic control units process raw inputs from onboard sensors to generate localized trajectory mapping and steering.

#6 about 2 min

Accelerating research and development for autonomous systems

A managed data pipeline reduces overhead for teams building and deploying validated in-car functionality.

#7 about 3 min

Navigating the levels of vehicle autonomy

Evolving from human driver assist paradigms to full automation introduces a disruptive gap requiring massive virtual validation.

#8 about 2 min

Growth and adoption of the robotic drive solution

An overview of rapid commercial scaling maps out expanding datasets expected from leading automotive partnerships.

#9 about 3 min

Processing global vehicle telemetry at scale

Setting up infrastructure to handle millions of recorded and virtual kilometers accelerates global testing pipelines.

#10 about 7 min

Distributed data lakes and containerized computing clusters

High-capacity ingest stations push raw inputs to robust data lakes seamlessly integrating scalable deployment environments.

#11 about 2 min

Integrating functional test and validation tooling

Connecting simulation ecosystems securely automates hardware and software-in-the-loop compliance checks before physical track testing.

#12 about 6 min

Shifting validation strategies into virtual physics engines

Replicating billions of miles requires gaming engines to safely randomize infinite scenarios without compounding field risks.

#13 about 3 min

Structuring the digital twin simulation ecosystem

Precise digital twins integrate accurate hardware models, localized geometry, and unexpected dynamic behavior disruptions seamlessly.

#14 about 3 min

Executing regression tests against dynamic weather patterns

Repeatedly compiling vehicle logic models through changing weather parameters yields rapid automated code behavior feedback.

#15 about 3 min

Validating lidar sensor models against real noise

Injecting realistic ambient noise patterns into virtual lidar setups massively improves the ultimate reliability inside physical vehicles.

#16 about 6 min

Compiling routing logic into certified safety microcontrollers

Deploying tested algorithms against hardware demands compliance with embedded architecture standards memory and memory separation constraints.

#17 about 2 min

Automating physical test tracks and ground measurements

Translating virtual confidence logs directly onto controlled road environments validates integrated system latency limits.

#18 about 5 min

Migrating to a software-centric component supply chain

Vehicle manufacturers are securing control over system updates by converging separate component functionalities against generic underlying modules.

#19 about 4 min

Structuring career paths and localized data architectures

Acquiring strong machine learning skills aligns candidate trajectories with the intense data processing tasks happening globally.

#20 about 7 min

Handling unlabeled traffic patterns and manual processing

Rigorously extracting ground truth from unlabeled roads isolates manual validation cycles securely from algorithmic contamination bias.

#21 about 5 min

Designing fallback strategies for blocked hardware sensors

Designing redundant hardware arrays forces compromised modules offline immediately and engages rapid deceleration or driver handover workflows.

#22 about 11 min

Measuring the fidelity of vehicle simulations

Comparing automated virtual braking impacts against actual passenger ride limits gauges exactly how simulations diverge from true conditions.

Matching moments

2:48 min

Challenges of applying DevOps to autonomous vehicles

Falk Langer Falk Langer +1 · World Congress 2023

2:36 min

Transitioning from hardware to software-defined vehicle architectures

Henning Harbs · World Congress 2023

9:13 min

Tackling functional complexity with localized vehicle electronic architectures

Hans-Jürgen Eidler · LIVE

5:57 min

Automating automotive manufacturing with self-driving vehicles

Oliver Zimmert · LIVE

1:19 min

Advancing autonomous driving capabilities with specialized software talent

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

1:53 min

Unified tech stack and hardware for Volkswagen

Liang Yu · World Congress 2022

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