Seamless automated driving testing on SIL and HIL platform
dSPACE experts present a new web-based AD simulation and validation solution that leverages cloud technology for nearly unlimited scalability to improve test coverage.
Autonomous Mobility
Optimal ADAS/AD test coverage with scenario-based workflow
AVL’s Heiko Scharke, Josko Balic, and Florian Klueck present the company’s toolchain for an optimized scenario-based workflow – AVL SCENIUS™.
Inter-processor connectivity for future centralized vehicle computer platforms
Experts from Microchip discuss PCIe and automotive Ethernet’s critical role in creating complete end-to-end centralized computer platform architectures for ADAS and other connected vehicle technologies.
Accelerating the development of augmented reality lane-level guidance: fusing HD-enriched maps with 6D environmental data
NNG’s Martin Pfeifle, Christoph Bonik of Artisense, and atlatec’s Henning Lategahn discuss their collaboration on augmented reality lane-level guidance.
From prototype to production: HIL for autonomous driving
Ben Hager of dSPACE presents Hardware-in-the-loop (HIL) solutions for autonomous vehicle testing, covering both closed-loop simulation and data replay testing.
Data annotation – how AI learns from humans
Experts from HERE Technologies provide unique insight into data annotation, the process of humans labelling static and dynamic imagery so machines can understand what they are ‘seeing’.
What will drivers do with all this car camera vision?
Nexar’s Roni Floman explains how cameras will impact the vehicle market and what that means for OEMs and their suppliers.
Keeping the vehicle data engine well-oiled through tagging and management
INTEMPORA’s Nicolas Du Lac explains how to simplify ADAS and AD data collection using versatile tagging techniques and optimized cloud-based data management.
Inspecting the sensor data pipeline for autonomous vehicle development
Jacob Perrin of dSPACE examines the challenges of collecting data for development programs for SAE Level 3 and above and the technology that can overcome them.
Creating custom interfaces to easily monitor and control distributed systems with EB Assist ADTF 3
Elektrobit’s Jens Storz explains how the Remote Procedure Call (RPC) of its ADTF 3 solution allows users to create a customized interface that caters for all requirements.
Accelerating ADAS and AV development with driving simulators
Righthook CEO Warren Ahner explains how to accelerate ADAS and autonomous vehicle development with simulation and driving simulators.
CAN data acquisition for ADAS – real-time data, log files, and beyond
Experts from Elektrobit and Kvaser explain how their integrated toolchain provides optimized CAN data acquisition for ADAS environments in virtual, real-time, remote, and logging scenarios.
The big leap? Transitioning from EB Assist ADTF 2 to 3
Jochen Messner discusses EB Assist ADTF 3, the latest version of Elektrobit’s development tool, which provides an improved API and modularity for handling the requirements of ADAS and automated driving development.
Setting the standards for scenario-based ADAS/AD testing, design and editing
AVL experts discuss the challenges of standardized scenario-based ADAS/AD testing and how specialized tools can help users design, edit, verify and parametrize testing scenarios.
The transformational impact autonomous driving will have on cars and the transportation system
Qualcomm’s Riccardo Calabro discusses the auto industry’s digital transformation and explains how 5G will be the connectivity fabric for future vehicles.
Efficient ADAS and automated driving development with EB Assist ADTF 3
Elektrobit’s Thorsten Weißer explains how to expedite the development and rapid prototyping of automated driving and ADAS using EB Assist ADTF 3.
Increasing ADAS testing efficiency on proving grounds and public roads
AVL experts discuss how AVL tackles these challenges to increase the efficiency of the ADAS testing process.
Next-generation true-solid-state LiDAR for integration and series applications
XenomatiX CEO Filip Geuens unveils the company’s next-generation XenoLidar X for automotive and industrial applications.
Adaptive AUTOSAR-based high-performance controller development
Elektrobit’s Vishal Mishra discusses the future of vehicle software infrastructure and explains how to develop HPCs with Adaptive Autosar.
Accelerating the improvement of ride and handling performance with driving simulator technology
VI-grade’s Mathieu Grob explains how driving simulator technologies can simplify and accelerate this process by assessing and improving modern vehicles’ ride and handling performance, in order to identify their optimal combination.