Alexander Noack Head of Automotive Electronics b-plus GmbH NA1
Autonomous mobility: the opportunity beyond cars
Dr Khasha Ghaffarzadeh Research director IDTechEx UK
All eyes are on the big ultimate prize: autonomous cars. However, this risks neglecting the growing and diverse opportunities that already exist beyond on-road passenger cars. This talk considers the rise of autonomous mobile robots in agriculture, warehouses and the delivery chain as well as in homes and commercial spaces. It will show that autonomous mobility is transforming the way we envisage vehicles in all these sectors, giving rise to new products, technologies and even business models. It will also show how unmanned mobile robots will increasingly leave behind structured environments to enter more aspects of daily life.
Taking autonomous vehicles from R&D to mass adoption
Markus Prison Director of business development, Europe Quanergy Systems Inc USA
With more attention than ever placed on the development of autonomous vehicles, modern consumers are increasingly familiar with lidar sensors, but few realise that the self-driving prototype vehicles that they see today with large spinning sensors are likely not the autonomous cars that will be in their driveways. The sensor that will come standard in every sedan and SUV will be solid state – much smaller, significantly lower cost, and immensely more reliable. This presentation will discuss how self-driving technologies will be integrated into commercial and privately owned vehicles over time, and what this means for key industry stakeholders.
High-accuracy guidance of autonomous vehicles
Yann Roussel Business manager OEM GNSS and mobile mapping Topcon Positioning Group FRANCE
As a leading supplier of surveying equipment and machine control positioning solutions, Topcon Positioning is now going a step further with the introduction of global GNSS Correction Service, Topnet LIVE. The presentation will explain how Topnet LIVE offers surveying accuracy positioning to OEM partners and in particular how this technology is applicable to autonomous vehicle guidance. It will describe how the infrastructure of the global GNSS correction service is organised, its key components and also how the correction data is broadcast to the moving vehicles, either by cellular or L-band.
10:30 - 11:00
Putting high-performance computing in the operator's seat
Fritz Ferstl Chief technology officer Univa Corporation USA
High-performance computing (HPC) is a critical component of creating and managing self-driving industrial vehicles, and is used for the design, engineering, validation and ongoing management of these highly complex vehicles. Furthermore, autonomous industrial vehicles will be transmitting an extraordinary amount of sensor data that needs to be analysed. This paper will discuss the different types of workloads used in the design, training and validation of this next-generation technology. The paper will also explain how machine learning can be deployed, including how Kubernetes and Univa’s Grid Engine software run alongside each other to manage diverse workloads.
Advantageous design of control systems for autonomous and automated vehicles
Alexander Holler General manager electronics division Inter Control Hermann Köhler Elektrik GmbH & Co KG GERMANY
Autonomous vehicles like AGVs operating in highly automated harbours, or supply vehicles moving material in and out of mines and tunnels, are already common. Furthermore, partly or fully autonomous operation is feasible for applications that are based on manual control. This presentation will provide an overview of which approaches have enabled efficient design of a control system for such assisted or autonomous industrial vehicles, with special consideration of their safety requirements. This includes recommendations and examples of safe hardware structure, safe software architecture, selection of the most suitable programming language, and supporting tools.
Map data as an essential element of the HAD sensor set
Stefan Pruisken Senior Manager, Business Development for Automated Driving Solutions and Software Platform Elektrobit Automotive GmbH NA1
Bringing automated driving on board off-highway industrial vehicles routes is a highly complex task that requires capable hardware and software. For a safe and comfortable experience, autonomous off-highway vehicles need to anticipate the way ahead. They need HD map data that increases the limited range of onboard sensors by amending digital route data. This map will work as an additional sensor inside a complex network for HAD, providing detailed data about the localisation and the route ahead to the software system steering the off-highway vehicle. By basing this HAD sensor on a worldwide-recognised standard, the complexity of the software system will be reduced
12:30 - 13:45
Niall Caldwell Managing Director Artemis Intelligent Power Ltd UK
Will lidar make cameras redundant?
Kris de Meester Vice president sales and business development XenomatiX BELGIUM
Cost and detection reliability are key decision criteria for automotive surround sensing technology. Cameras rightfully earned their place in cars. However, resolution, computing power, night vision and 3D capabilities remain a concern. Can lidar outperform cameras in these areas? Can this be done at an affordable cost? And is lidar robust enough for automotive use? This presentation will discuss lidar performance in harsh conditions and give an impression of what lidar ‘sees’. The presentation will show real data and real results from tests in real-life conditions, checking on robustness, sensitivity, precision and range. The paper will give an insight into the performance of a solid-state lidar in serial cars, and how it goes together with camera: redundant or not?
Challenges of introducing autonomous vehicles in companies' production systems
Baard Rosvik Business development manager Semcon Devotek NORWAY
With autonomous vehicles becoming available, the challenge of putting them to work demands integration between autonomous vehicles and a company's production and warehouse systems. Coordination has traditionally been performed by trained individuals whose experience and knowledge are key to the overall system performance, but now coordination of the fleet is shifting from machine operators to the system. Can new 'system' suppliers and technologies like machine learning and artificial intelligence help to solve this gap?
Evolution of control systems towards highly automated mobile working machines
Arto Orava Manager, research and platform development Epec Oy FINLAND
In the European Union, the framework for functional safety of mobile machines is well established by the Machinery Directive. Application of harmonised standards such as EN ISO 13849 pave the way to demonstrate compliance with relevant functional safety requirements, and pre-certified components enable faster time-to-market for control system development. An increasing level of automation calls for new technology and standardisation. For a controlled environment like underground mines or cargo ports, operation of autonomous machines can be enabled by special arrangements. For other applications like agricultural and forestry, some bottlenecks must be solved by the industry to enable autonomous operation. However, new technology enables ADAS functions as steps toward autonomous machines.
15:15 - 15:45
Productivity growth in construction through OEM-independent solutions for machine automation
Christoph Horn OEM key account management Vemcon GERMANY
Manufacturer-independent technology solutions would dramatically speed up digitisation and productivity growth in the construction industry. If the necessary interfaces (between machine, tool, other machines, other aftermarket solutions, digital services, etc.) were built in by the OEM already, dealers wouldn’t experience compatibility problems when configuring machines with retrofit solutions. This would enable retrofitters to offer solutions to constructors that increase productivity quickly, flexibly and at relatively low cost. OEMs could benefit from fast digitisation with new revenue streams through productivity-enhancing functionalities and unique selling points for their intelligent machines. They would open up new business segments with short time-to-market.
Hazard and risk analysis in Level 5 autonomous industrial vehicles
Paria Amini Head of automotive ROSAS Center Fribourg SWITZERLAND
In order to determine the Safety Integrity Level (SIL), functional safety standards suggest hazard and risk analysis method by risk graph that contains three criteria: severity, exposure and controllability. Controllability is defined as the possibility of hazardous events being controllable by the operator or by the person potentially at risk, but there is no operator to control risks in autonomous vehicle (AV) Level 5. However, operators are replaced by ADAS or types of logic control systems in AV. This presentation elaborates how logic control systems can play an important role as a controllability factor in hazard and risk analysis methods to determine the SIL of autonomous industrial vehicle systems.
Please Note: This conference programme may be subject to change