Through NorthStar, Magna will have access to 5G millimeter wave (mmWave) technology that enables low latency gigabit speeds, and enhanced connectivity for new ADAS trials. This technology also enables and supports ongoing research into joint sensing and communication systems.

Magna’s test track will feature the 5G network – delivering gigabit data speeds and ultra-low latency. Leveraging the 26 GHz frequency band and 400 MHz bandwidth, this network will play a key role in the company’s driving automation and driver support systems that rely on real-time data from vehicle sensors. NorthStar’s 5G network is powered by Ericsson dual-mode 5G Core, which connects to Telia’s existing public 5G network. This interconnectivity will enable Magna to benefit from high-speed connectivity across large geographical areas.

At the HMGICS, a range of new technologies – including advanced automation, real-time monitoring and data evaluation – will be used to manufacture the robotaxi as well as other EVs from the Hyundai Motor Group. The Singapore facility is also equipped with dedicated testing facilities and a calibration center that will together support the production of future Hyundai AVs. Motional confirmed that it will position a team of its employees at the facility to assist with production, critical diagnostics, software development, calibration, and validation tasks to ensure that finished examples of the Ioniq 5 robotaxi are ready for deployment.

More broadly, the HMGICS introduces Hyundai’s new smart urban mobility hub concept, which includes a flexible, automated production system while enhancing interactions between EV buyers, their vehicles, and the Hyundai brand. In addition to leveraging a mix of people, robotics, and AI in a new manufacturing approach, the facility’s digital twin Meta-Factory technology works to rapidly meet changing customer demands and production requirements. Through this approach, the facility is capable of manufacturing up to 30,000 EVs annually.

Today, the facility produces both the passenger and robotaxi versions of the Ioniq 5 EV and, starting in 2024, will begin producing Hyundai’s forthcoming Ioniq 6 EV. In the long-term, the OEM will also use HMGICS as a testbed for developing its future mobility solutions, such as Purpose Built Vehicles.

The production of the Ioniq 5 robotaxi is the latest step in the AV’s development, following a year-long testing period of prototype vehicles in the U.S. and Singapore. This initial fleet recently completed a series of evaluations around the quality, performance, and maturity of its autonomous driving technology. Commercial production of the Ioniq 5 robotaxi is underway, and the first models have already arrived at Motional’s facility in the U.S. The vehicles are currently undergoing Motional’s testing and safety validation processes before beginning commercial service in 2024.

The partnership will leverage up to seven shuttles to transport goods autonomously transported between a GE Appliances manufacturing facility and warehouse in Selmer, TN from Monday to Thursday. For Einride, these operations will help showcase how its freight capacity as a service (FaaS) model can be enabled with autonomous vehicles. This long-term deployment follows the company’s prior pilots with GE Appliances – first in a gated environment at the company’s Appliance Park headquarters in 2021, followed by a driverless public road pilot in Selmer in 2022.

The Einride autonomous vehicle forms part of a larger interoperability project in Selmer working to create an automated logistics flow to improve employee ergonomics and safety around loading docks while increasing efficiency. Supporting the partnership between Einride and GE Appliances will be technologies from GE Appliances partners, including TaskWatch and Slip Robotics. Here, TaskWatch’s AI cameras trigger a control board to raise and lower the dock doors, dock plate, lock the Einride autonomous vehicle into place and notify the SlipBot autonomous mobile robot that the Einride vehicle is ready for loading. The electric-powered SlipBot then autonomously loads and unloads the vehicle.

Together, the companies will collaborate on enhanced high-resolution radar systems for automotive applications by leveraging Distributed Aperture Radar (DAR), a technology developed by Zendar that enables a simplified system solution approach. Through DAR, the resolution of high-performance radar systems can be enhanced while eliminating the need for thousands of antenna channels. It collects and combines information from multiple radar sensors on a vehicle to create a larger effective antenna that achieves heightened sensing resolution. DAR also enables high-angular resolution below 0.5 degrees, providing capabilities similar to a LiDAR that support precise mapping of the environment, and offers further potential to enhance resolution through flexible mounting techniques.

The jointly-developed radar solutions will be based on NXP’s S32R radar processor platform and RFCMOS SAF8x one-chip SoCs – both of which are tailored to cover a variety of vehicle architectures and help accelerate the transition toward distributed architectures. The companies expect that OEMs and suppliers will equally benefit from high resolution systems developed with simplified standard radars, with reduced thermal complexity, and a smaller radar footprint for flexible and more convenient mounting.

The collaboration will leverage Liftango’s shared mobility solutions and May Mobility’s AV fleet to optimize shared transit across cities and corporate campuses in the Americas, Europe and the Middle East. Here, the companies will collaborate on demand-responsive scheduling and routing optimization for autonomous fleets as they aim to create a positive impact by developing a safe, inclusive transit system catering to each community’s specific needs.

The partnership will enable vehicles equipped with May Mobility’s autonomous driving technology to operate between both demand-responsive and fixed-route services through Liftango’s technology platform. The companies are similarly aiming to help transit agencies and commercial campuses deliver enhanced, more reliable transportation experiences. Their partnership will also make it easier to expand transport services to customers who currently don’t have access due to mobility issues, are located in a rural location, or are subject to reduced services in their area.

The service will see Origin, Cruise’s proprietary AV designed for robotaxi use, pick up customers at a specified location and drive them to their destination. Much like Cruise’s existing service in the U.S., the Tokyo service will operate through a dedicated smartphone app which customers will use throughout the process – from hailing the robotaxi to paying for rides. The Origin AV itself was jointly developed by GM, Cruise, and Honda, and enabled by a multi-year partnership between GM and Honda – who in 2018 committed to investing $2 billion (€1.8 billion) into Cruise over a 12-year period. Inside, the AV does not have a driver seat or steering wheel – offering enhanced cabin space for up to six passengers, with three seats at both ends of the vehicle that allow these passengers to sit face to face.

For Cruise, the announcement marks a key step as its Origin AV enters a new international market. The expansion follows the GM subsidiary’s growth in the U.S., where its robotaxi service began limited operations in San Francisco before receiving the necessary permit to operate more regularly in the city. This service then expanded further across the country, with operations in select areas of Austin, Houston, and Phoenix alongside testing in Dallas, Nashville, and Los Angeles.

Targeting Tokyo, the robotaxi service spawned from the JV will aim to offer a new mobility experience for a broad range of customers in Japan – including businesspeople, families, and visitors. At launch, the companies will leverage a small fleet of Cruise Origin AVs to carry out operations, before increasing the size of this fleet to 500 units. Following this increase, GM, Cruise and Honda will then look to scale the service – extending its reach to areas outside of central Tokyo. Through it, the companies are ultimately aiming to address mobility issues currently facing Japan – such as the country’s shortage of bus and taxi drivers. In supporting the service and helping it to scale, GM, Cruise and Honda will continue to strengthen its partnerships with various stakeholders, including municipal governments and transportation service providers local to the Japan region.

The announcement of the JV and its robotaxi service was made at a special press event held by Honda ahead of the Japan Mobility Show in Tokyo, where the Cruise Origin will be displayed at the OEM’s booth. The announcement also represents the latest step in a longer collaboration between GM and Honda that began in 2013 through the joint development of hydrogen fuel cell systems. This continued in 2020 as the Cruise Origin was revealed, before the companies more recently announced plans to co-develop cost-effective EVs for the North America market.

The AT128 sensor itself is an automotive-grade long-range lidar that offers an overall resolution of 1200×128. It can output real-time 3D data at a rate of 1.53 million points per second and has a detection range of up to 200 meters (@10% reflectivity), allowing for objects to be outlined in precise detail. As the primary LiDAR sensor for ADAS applications, the AT128 provides high performance and reliability at an affordable price point.

Together, the companies will work to enhance the ADAS driving functionalities of Neta Auto’s new series production vehicle. Looking forward, they will then continue to jointly leverage their strengths to advance the development and implementation of intelligent driving technology for a wide range of applications.

The partnership unites Vicinity’s experiences in medium-duty, accessible, fully electrified low-floor transit vehicles with ADASTEC’s SAE Level-4 automated driving software platform, flowride.ai. Together, the partners will look to greatly support the mobility sector and make a lasting impact on communities and passengers.

Vicinity and ADASTEC are likewise committed to driving innovation, accessibility, and sustainability within their partnership. Here, the partners share a vision to create advanced, environmentally friendly, transit solutions that integrate seamlessly into smart cities. This partnership is set to reshape the mobility industry, offering communities and passengers a more connected and sustainable urban future.

The positioning solution provided by GMV is comprised of two components – an onboard Positioning Engine (PE) software, and a GNSS Corrections Service (CS) that provides vehicles with corrections to the Broadcast GNSS Ephemeris, augmentation data, and other safety-related information.

GMV has said that both components have been developed, validated, and evolved to align with the requirements laid down by different GNSS-based high‑accuracy positioning markets, including the automotive market and the ISO 26262 and ISO 21448 (SOTIF) standards, while the demanding quality practices for critical software have also been adopted.

The partnership will help GMV bring an enhanced product to market that meets the needs of automated driving systems. Here, the technologies will offer new features targeting the increase of the Operational Design Domain of the localization function in highways, the improvement of performance in urban environments, and the incorporation of further constellations to the ones currently used.

For the CCTA, May Mobility will provide on-demand transportation for staff, patients, their families and others in the surrounding community. The service, which is set to launch in 2024, will work to help reduce the number of medical appointment cancellations and absences made due to a lack of convenient, accessible transportation.

May Mobility’s AVs will be incorporated into the CCTA’s existing transportation network, expanding its autonomous fleet. The fleet itself includes seven vehicles, three of which will be wheelchair-accessible models featuring an ADA-compliant wheelchair ramp and securement system.

May Mobility and the CCTA’s autonomous microtransit service will be powered by Via, allowing riders to book an on-demand AV ride through the May Mobility app (available on Google Play or the App Store) or by calling a dedicated phone number. The app leverages Via’s AI-based booking and routing algorithms to match riders headed in the same direction into one AV to create efficient shared trips.

In addition to stops at local medical facilities, the deployment will include further stops that enhance transit connectivity. May Mobility, Via and CCTA will together continue to identify stops that connect the community with local points of interest as well as public health facilities that will help improve the quality of life for county residents.

As a part of this implementation, V.A.S. will deliver a complete autonomous transport solution that includes vehicles, hardware, software, control room, repair and maintenance and training. The solution will be based on a virtual driver developed in-house by V.A.S. as well as the premium truck range offered by Volvo Trucks. In addition, V.A.S. will provide a wheel loader for the loading operation. Boliden will likewise adapt its operations to prepare the site for its implementation of V.A.S.’s self-driving trucks and build the necessary infrastructure to support them.

Both companies expect the project to commence in 2023, beginning with a testing and development phase followed by implementation and fully autonomous operations.

The shuttle’s six-stop, 2.2-mile route connects the Popp Martin Student Union, Greek Village, academic buildings and dormitories, and the main campus light rail station located on the LYNX Blue Line. The LYNX Blue Line itself operates across 18 miles (28.9 miles) with 26 stations that connect users to 11 park-and-ride facilities, and directly to the UNC Charlotte campus.

In connecting the light rail system to its shared mobility service, Beep’s pilot will work to provide riders with further access to existing transportation services on the university campus. More broadly, the project features the longest route, most traffic signals, and the most complex operating environment for the NCDOT’s CASSI program to date.

After taking a ride in the autonomous shuttle at the center of the project, riders will be able to take a survey about their riding experience. It will provide the opportunity for participants to provide feedback while capturing perceptions of the AV’s safety, comfort, and convenience – with NCDOT leveraging the survey’s results to enhance the service over time.

Leveraging a Cloud Data Hub that it already has on AWS, BMW will develop a new cloud-based system that will utilize AWS compute, generative AI, IoT, machine learning and data storage capabilities to accelerate the delivery of new automated vehicles. BMW has said that developing its new ADAS platform on AWS will allow its engineers to respond to consumer demands more quickly, with this cloud-enabled efficiency supporting the development of new features for Neue Klasse vehicles and enhancing the overall user experience.

BMW will further utilize AWS’ services to scale its capacity to handle the increased creation and usage of data involved in the development of new automated driving features. With the group’s vehicles generating increasing amounts of data as it deploys more ADAS, BMW’s engineering teams will look to analyze and utilize this data to develop new ADAS – such as lane departure assist, automated lane change, or hands-free driving features more quickly.

In a similar fashion, AWS services will power BMW’s scalable automated driving platform based on a common reference architecture which will accelerate the development cycle and broaden it across BMW models. Here, the platform provides a framework that can process, catalog and store real-time driving data in the Amazon Simple Storage Service. With the Amazon SageMaker machine-learning platform, BMW’s engineers and data scientists can then search, identify, and visualize relevant driving scenarios to develop and train new AI models – thereby supporting the development and refinement of new autonomous driving functions. At the same time, the group’s engineers will be able to develop large-scale simulations that use AWS compute instances for verification, allowing it to test and validate new software versions more efficiently – ensuring the safety of the final system and reducing its time-to-market.

In addition to its extended partnership with AWS, the BMW Group announced a similar collaboration with Qualcomm Technologies. Through it, the companies will co-develop next-generation automated driving systems based on Snapdragon Ride – Qualcomm’s open, modular, ADAS platform. The systems themselves will include an integrated Ride Vision software stack, which enables 360-degree perception capabilities for the vehicle. The BMW Group has said that partnering with both AWS and Qualcomm will provide its engineers with access to advanced hardware, vision software and cloud capabilities within an end-to-end automated driving development platform. At the same time, BMW expects that situating its new automated driving platform in the cloud will also streamline the development process while supporting enhanced global collaboration with its suppliers.

Operating through a project called DriveSafeAI, the partnership pairs Wayve’s experiences in end-to-end machine learning for self-driving, with WMG’s experience in verifying and validating the safety of self-driving technologies. Together, the partners will develop a set of safety methods, tools and datasets for self-driving vehicles while creating the evidence to underpin future AI regulation and policy.

DriveSafeAI forms a part of the Commercialising CAM Supply Chain Competition, which is funded by the UK Government’s Centre for Connected and Automated Vehicles – a joint unit between the Department for Business and Trade (DBT) and the Department for Transport (DfT) delivered in partnership with Innovate UK and Zenzic.

The £18.5 million ($23.1 million / €21.5 million) competition was originally launched in October 2022 to support the deployment of AVs by strengthening the capabilities of the UK CAM supply chain and is part of the government’s broader vision for self-driving vehicles.

Through it, Hesai’s AT128 long range LiDAR has been integrated into the latest version of Webasto’s Roof Sensor Module, which features several cameras and LiDAR sensors. The system likewise includes a full sensor set, together with other antennas, that is concealed under a full-surface polycarbonate cover that blends with the vehicle’s silhouette.

The AT128 sensor itself generates ultra-high resolution point clouds, perceiving objects up to 200 meters away – including vehicles, pedestrians, tires, and traffic cones. In perceiving and capturing such objects, the sensor works to enable and ensure accurate decision-making practices that help drivers avoid risk.

The partnership will ultimately support the launch of an all-new EV brand from Xpeng in 2024, currently being developed under the project name ‘MONA’. Through the MONA project, the OEM will look to expand its presence in the mass market segment – with EVs targeting a price range of RMB150,000 ($20,576 / €18,928) – while accelerating the adoption of Smart EVs and technologies within the segment. An A-class Smart EV model expected to launch in 2024 will be the first vehicle from new brand, which will be differentiated from other Xpeng-branded products as well as the main Xpeng brand. For the MONA project, DiDi will provide the OEM with support through its mobility ecosystem and access to its nationwide shared mobility market.

More broadly, Xpeng and DiDi will explore additional opportunities for strategic cooperation in numerous areas. Here, the agreement will allow Xpeng to benefit from comprehensive support enabled by DiDi’s ecosystem. Together, the companies will look to explore new initiatives in marketing, financial and insurance services, charging, Robotaxi, and international market expansion. The partnership’s collaborative exploration of the robotaxi sector follows DiDi announcing its own plans to self-develop and launch a robotaxi. The company’s self-driving hardware platform, Gemini, has likewise gained momentum internationally, having been integrated into a series of XC90 EVs in a 2021 robotaxi partnership with Volvo Cars. Gemini itself runs on the Nvidia DRIVE Pegasus AI computer with 700TOPS of performance, includes up to 50 high-resolution sensors, and was designed using Didi Chuxing’s database of ride-hailing data and real-world data from autonomous driving tests.

Xpeng has said that it will issue Class A ordinary shares, representing approximately 3.25% of the company’s outstanding share capital, to acquire the assets related to DiDi’s Smart EV project. The transaction will likewise see DiDi become a strategic shareholder of Xpeng, with a lock-up period of 24 months after the initial closing. Furthermore, the agreement between will further establish performance-based incentive mechanisms based on the mass production of MONA vehicles and sales volume targets to be fulfilled by DiDi.

The new partnership marks Oxa’s entry into the U.S. market, where its software will be installed in various vehicle types operated by Beep ranging from current passenger shuttles to future vehicle platforms. The first initiative to be carried out through the partnership will focus on a fleet of Beep autonomous and electric shuttles driven by Oxa Driver. Two Beep shuttles leveraging Oxa’s software are currently operating at the SunTrax test facility in Auburndale, FL for connected autonomous and standard vehicles.

Oxa Driver itself combines sensor data from cameras, LiDAR and radar to develop a comprehensive view of the vehicle’s surroundings. The software also leverages AI to accurately sense and predict changes to the vehicle’s environment while learning from previous journeys – improving the technology’s capabilities over time.

The announcement follows Oxa collecting more than $140 million in a recent Series C funding round, and beginning a new strategic partnership with Google Cloud to support the development, testing, validation, and verification of its self-driving technology.

Together the companies will also leverage Plus’s autonomous driving software and experiences in global commercial deployment, including its cooperation with IVECO, to co-develop self-driving trucks for Europe. Highly automated trucks enabled by Plus’s technology are already delivering freight in the U.S. for world-class fleets and are currently being tested on public roads in Germany with support from IVECO.

Plus’s autonomous driving system leverages a combination of generative AI, machine learning, computer vision, and other algorithms to enable advanced awareness and control. Integrated with advanced lidar, radar, and camera sensors, it can detect and precisely track objects, predict their movement, and safely maneuver the vehicle.

Following its work with the OEM on an existing partnership, that will include the first deployment of LiDAR-enabled automated technology on the new BMW 7 Series, the companies will shift their focus to the next generation of this technology, starting with the first B-sample phase. The outcome of this phase will enable the BMW Group to decide on a serial development agreement with Innoviz that will focus on bringing a new automated capabilities to more vehicles in the BMW lineup.

Another goal of the phase is to develop a LiDAR based Minimal Risk Maneuver (MRM) system in the future. The MRM acts as a secondary safety driving decision platform that will leverage the InnovizTwo LiDAR’s performance capabilities to manage real-time driving decisions. The MRM system is part of a growing software suite from Innoviz that will also include its next-generation perception software.

Nvidia DriveWorks offers a foundation to support autonomous vehicle software development, allowing developers to create and deploy autonomous driving applications. Through the new partnership, the developers leveraging DriveWorks will be able to effectively integrate Hesai’s LiDAR sensors into their vehicles, leading to more efficient and reliable autonomous driving systems.

The partnership’s scope extends to Nvidia Drive Sim, the tech company’s simulation platform that allows developers to test and validate autonomous driving systems in a physically-based virtual environment. Here, Hesai’s LiDAR sensor models will be made available in Drive Sim – allowing developers to leverage their capabilities for simulating real-world LiDAR data to support the accurate, more robust, testing of AV algorithms.