The future of mobility according to Smartcar
Zeenia Framroze of Smartcar outlines future mobility trends, along with the opportunities that are emerging, and some of the associated challenges and alternative perspectives.
Autonomous Mobility
V&V solutions for ADAS/AD applications in the commercial vehicle industry – how to achieve highest development efficiency
Experts from AVL explain how to create efficient ADAS / AD test programs for commercial vehicles to ensure optimum coverage with uncompromised safety.
The faster way to test and validate your ADAS and automated driving applications
Elektrobit shares highlights of EB Assist ADTF 3 and its latest releases as cornerstone for development and validation
Solving the autonomous vehicle blind spot
Experts from dlhBOWLES discuss the importance of sensor availability for ADAS features and highly autonomous vehicles.
How the right data storage solution enables connected and autonomous cars of today and tomorrow
Garima Mathur of Western Digital explains why data storage is key to accelerating the development of automotive technologies.
Hardware-in-the-Loop solutions for ADAS ECU function test and validation
Elektrobit’s Wolfgang Völkel provides insight into scalable Hardware-in-the-Loop (HiL) solutions for ADAS ECU validation.
Secure software development for connected and autonomous vehicles
Dr. Dennis Kengo Oka of Synopsys discusses how to reduce security risks in CAVs prior to production by following a secure software development approach.
How to execute distributed system-wide cause-effect chains in next-gen cars
Elektrobit’s Dr Sebastian Ohl showcases a solution using a high-performance ADAS system and a safety ECU running AUTOSAR Adaptive and Classic.
C-V2X: The future of 5G and smart transportation
Dino Flore and Jim Misener of Qualcomm provide insight into the benefits of C-V2X, and how it improves predictability for enhanced road safety and autonomous driving.
Entering the connected world – High Performance Computer as cornerstone for the future of the software-defined vehicle
Continental’s Bruno Nunes-Silva and Peer Sterner of Elektrobit outline the general trends in in-vehicle architectures with HPCs and share their experience with Adaptive and Classic AUTOSAR platforms.
The automotive industry after COVID-19 – discovering the unseen trends
PatSnap‘s Kim Boloorian and Kavya Kumaresan provide insight into what the future of innovation will look like for the global automotive industry.
Cost-effective automated driving solutions for niche commercial vehicle applications
AVL experts explain how to successfully implement automated driving in confined area applications.
A trunk full of data: Enabling immense data intake for tomorrow’s automated vehicles
Experts from Elektrobit and Equinix discuss ways to manage the massive volumes of data required for ADAS and automated driving development.
Complete data-driven development for autonomous vehicle implementation
Jace Allen of dSPACE provides unique insight into how the company’s data-driven development solution can help achieve a complete V&V strategy for ISO 26262 and ISO/PAS 21448 (SOTIF) certification.
Finding the balance between autonomous driving, infotainment systems and safety
Elektrobit’s head of User Experience and User Interface Design Frank Uhlig discusses the impact of autonomous driving systems on cars as an experience space.
Simulation – the key to validating functions for autonomous driving
Dr. Christopher Wiegand and Michael Peperhowe of dSPACE explore the solutions for virtual environments, sensor simulation, and integration of the software under test.
How to unlock and monetize data for real-time use cases in series production cars
Teraki’s Daniel Richart and Geert-Jan van Nunen discuss how the company enables use cases for connected and autonomous vehicles.
How to maximize the efficiency of test labs
AVL’s Gerald Sammer explains how the company’s data and process management solution can help boost lab efficiency.
Possible scenarios for the future of automotive
Agoria’s Ward Vleegen discusses the megatrends that are shaping the future of the automotive industry, and the disruptive impact they are having on automakers, their suppliers, and the industry as a whole.
Comprehensive data pipelines for automotive AI
Appen’s Rahul Parundekar and Andrea Butkovic provide insight into why high-quality annotated training data is essential for effective autonomous drive AI systems.