Enabling enhanced safety and advanced use cases with 3GPP R16 NR-V2X
Keysight’s Bill McKinley provides an overview of NR-V2X and explains how it compares to previous releases and enables enhanced safety and advanced use cases.
Autonomous Vehicles
Increased end-consumer acceptance of ADAS using an advanced performance target setting approach
AVL’s Aiko Illmeier presents the methodology and results of the company’s unique ADAS performance target setting approach.
How to level up your test drive experience: an efficient approach using existing test resources
b-plus automotive experts explain how software-based planning and AI-based data evaluation of test drives can make highly-efficient use of existing test resources possible.
Precise environmental measurements of dynamic objects for data-driven ADAS/AD development and homologation
Armin Engstle and Thomas Guntschnig introduce AVL’s Dynamic Ground Truth System, a highly precise solution for recording and processing real-world data to support the development and homologation of ADAS/AD systems.
Road to lab: validation of ADAS/AD functions in automotive
Ken Horne of Keysight Technologies provides unique insight into the company’s approach to autonomous drive emulation (ADE).
ADAS/AD SOTIF process and methods in combination with functional safety
AVL experts present new and adopted procedures and methods to reduce the residual risk for SOTIF in combination with functional safety.
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.
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.