GNSS modules positions vehicles within 500mm 

High accuracy vehicle positioning which positions them to within 500mm without correction data is the claims for the UMSZ6 series of GNSS module, developed by Alps Alpine and Furuno.

Being able to realise accurate positioning to within 50cm without correction data is a first for automotive applications, says Alps Alpine. Typical roads are approximately three metres wide which enables the module to reliably position vehicles within a lane for V2X applications and autonomous driving. Mass production is scheduled for 2023 and in the time leading up to the commercial availability, the partners say they will be making efforts to enhance the performance with evaluations and demonstration testing. 

In the autonomous driving domain, a growing number of vehicles on the road have Level 2 automated driving capability, allowing them to autonomously follow the vehicle in front under certain conditions while staying in their lane. Cars capable of Level 3 automated driving, where the system carries out all driving tasks but under restricted conditions, such as during motorway or low speed driving, have also been developed and some are already on the market, says Alps Alpine. The spread of Level 3 autonomous vehicles and further advances in autonomous driving functionality will depend on the availability of vehicle positioning that is more user-friendly and even more accurate, believes the company.

The UMSZ6 Series GNSS Module realises high-accuracy vehicle positioning to within 500mm even without having to use position correction data through the use of a multi-frequency GNSS receiver chip based on Furuno’s Extended Carrier Aiding technology. Running costs associated with RTK4 base stations, correction data receiving and correction data use are no longer needed. 

The jointly developed module uses Alps Alpine’s expertise in module creation for the compact dimensions of 17.8 x 18.0 x 3.11mm. 

Furuno has developed and supplies the eRideOPUS 9 (model ePV9000B) multi-frequency GNSS receiver chip and algorithm. Alps Alpine is using the chip before anyone else to create and commercialise the UMSZ6 series GNSS module. It will carry out evaluations within a real-car environment to assess performance and interoperability with V2X and other communication modules.

Hideo Izumi, vice president, device business, Alps Alpine, commented: “Relative vehicle positioning accuracy is constantly improving as a result of mmWave radar, lidar and camera technology. Achieving absolute position accuracy down to the lane level is essential for both V2X applications and genuine Level 3 automated driving, but system-related costs associated with RTK technology have been an obstacle”  He believes the combination of the multi-frequency GNSS receiver chip based on Furuno’s Extended Carrier Aiding technology, will be a breakthrough in V2X and advanced autonomous driving technology.

The GNSS module can be used for telematics control units and V2X onboard units.

 http://www.alpsalpine.com

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Algorithm models raw sensor data for urban driving

High resolution, raw sensor data can be used by an algorithm created by BaseLabs, to generate a consistent environment model for future urban driving functions.

Dynamic Grid accelerates the development of data fusion systems for automated driving functions, particularly in urban environments. It means automotive developers do not have to undergo time-consuming algorithm training but can develop driver assistance systems such as parking functions or traffic jam pilots with better performance than traditional tracking and grid methods, says the company.

Automated driving functions for urban areas are demanding for environment modelling. Using high resolution sensors to acquire the required data with a sufficient level of detail is thwarted because traditional algorithmic methods of sensor fusion are limited. Dynamic Grid can process the high resolution sensor data (from radars or laser scanners, for example) at the raw data level. 

It is also possible to use cameras with semantic segmentation. As a result, Dynamic Grid provides a self-consistent environment model that detects dynamic and static objects in the vehicle environment. It also estimates free space to identify drivable areas or parking spaces. The algorithm runs on automotive CPUs in real time and is implemented according to ISO26262

Dynamic Grid is suitable for driving functions for automation level 2 and above, including highly automated driving. Typical application areas are automated parking functions, for example valet parking, emergency braking functions with automatic avoidance, or traffic jam pilots. The algorithm is also suitable for use in radar subsystems.

Dynamic Grid is a superior alternative to using traditional tracking methods and a static occupancy grid, explains Norman Mattern, head of product development at BaseLabs. “By processing the data in an integrated manner in a self-contained algorithm, we avoid inconsistencies that the combination of two different methods in the traditional approach often entails. Dynamic Grid can show its strengths especially in scenarios with many objects and different directions of motion in the vehicle’s environment,” he said. The algorithm can detect and track objects of any shape without extensive training, he added.

BaseLabs provides software to make the development of sensor fusion efficient and scalable. It is a partner for automotive manufacturers and suppliers worldwide. 

The company was founded in 2012. 

https://www.baselabs.de/dynamic-grid

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dSpace and Nordsys develop tests for connected self-driving vehicles 

Working in partnership to accelerate the development of connected self-driving vehicles, dSpace  and Nordsys have announced the V2X (vehicle to everything) interface for waveBEE communication systems. 

Nordsys specialises in the development of systems for vehicle to vehicle (V2V) communication and dSpace provides simulation and validation of automated and electrically-powered vehicles. The dSPACE V2X interface for waveBEE communication systems combines simulation for advance driver assistance systems (ADAS) and autonomous driving (AD) functions with flexible and scalable waveBEE V2X solutions to form a new type of test and validation platform. 

V2X communication makes it possible to connect vehicles with each other and the surrounding infrastructure so that self-driving vehicles can drive attentively and safely. V2X applications require powerful simulation and validation solutions due to the high complexity resulting from the many technologies involved and the numerous application scenarios.  

The V2X Interface for waveBEE combines the technologies of dSpace and Nordsys. It supports the communication standards DSRC and C-V2X for Europe, North America and China, including the associated protocol stacks. It also allows for the testing of a broad range of application scenarios, including robustness and reliability tests. This makes it possible to conduct initial virtual tests of V2X applications on the PC-based simulation platform dSpace VEOS and, later in the development cycle, HIL tests. 

When combined with waveBEE, software offered by dSpace, the V2X can be integrated with real vehicle sensors and GNSS positioning data, making infrastructure simulation and sensor simulation possible.

“Co-operation with dSpace is an important milestone not only for Nordsys, but first and foremost for our shared OEM and Tier-1 customers,” said Manfred Miller, CEO of Nordsys. “The combination of the established dSpace test solutions with the flexible and scalable waveBEE V2X system opens up entirely new possibilities for the development of autonomous vehicles, even beyond Level 3 autonomy,” he enthused.

 http://www.dspace.com

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IAR Embedded Workbench for Arm supports NXP’s S32K3 MCUs

The complete development toolchain IAR Embedded Workbench for Arm now supports NXP Semiconductors’ latest automotive microcontroller (MCU) family, the S32K3.

The announcement extends the list of MCUs supported by the embedded tool suite. NXP’s S32K3 MCUs are designed for automotive body electronics, battery management and zone and domain controllers. The extended MCU support will help developers maximise application performance, maintain a high level of code quality and achieve functional safety compliance in automotive designs, says IAR.

The introduction is intended to meet the growing complexity in automotive embedded systems with development tools that help companies maximise the capabilities of the chosen MCU without compromising on workflow efficiency. IAR Embedded Workbench for Arm delivers optimisations, comprehensive debugging features and integrated code analysis tools. In addition, the toolchain is available in a functional safety edition certified by TÜV SÜD in accordance with 10 standards, such as the international umbrella standard for functional safety, IEC 61508, and the automotive standard ISO 26262

The S32K3 MCUs are based on single, dual and lockstep-configured Arm Cortex-M7 cores and support ASIL B/D safety applications. They include a hardware security engine with NXP firmware, support for firmware over-the-air (FOTA) updates and ISO 26262 compliant real-time drivers software for AutoSAR and non-AutoSAR with IAR Embedded Workbench support.

IAR Systems supplies future-proof software tools and services for embedded development, enabling companies worldwide to create the products of today and the innovations of tomorrow. 

The company was established in 1983 and is headquartered in Uppsala, Sweden. It has sales and support offices all over the world. 

Since 2018, Secure Thingz, which specialises in device security, embedded systems, and lifecycle management, has been part of IAR Systems Group.

http://www.iar.com

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