In connected car news this week were Tesla, Baidu, Volvo, AT&T, ParkMobile, DENSO, AImotive, Otonomo, Toyota and GM.
Telsa’s Self-Parking Summons Coming and Going
Tesla’s upgraded Summon Self-Pilot system that will allow vehicles to navigate a parking lot, find an empty space and park themselves will debut within six weeks, Elon Musk Tweeted.
Volvo & Baidu
Volvo Cars has reached an agreement with Baidu, the leading Chinese internet search provider, to jointly develop electric and fully autonomous drive-compatible cars with the aim of mass producing them for China, the largest car market in the world.
Volvo Cars is the first foreign car maker to collaborate this closely with Baidu to jointly develop customized autonomous driving cars. The partnership will allow both companies to develop and sell these vehicles to potential Chinese customers, underlining the Swedish company’s aspirations to be the supplier of choice for mobility companies globally.
Volvo Cars and Baidu will pool resources to take the next step and prepare for mass manufacturing of fully electric and autonomous cars, according to the agreement. The collaboration with Baidu is Volvo Cars first of its kind in China and it was deliberately chosen as a partner by Baidu because of its long-standing safety credentials.
Based on the collaboration agreement, Baidu will contribute with its Apollo autonomous driving platform. Volvo will provide access to its expertise and advanced technologies of the car industry.
ParkMobile Pays for Parking in Westwood
ParkMobile, the leading provider of smart parking and mobility solutions in North America, announced today the launch of new service in the Westwood Village area of Los Angeles. This is part of an expanded relationship with LADOT to improve parking around the city.
People in Westwood Village will see new ParkMobile stickers on all 468 single space parking meters in the area. To pay for parking using the ParkMobile app, a user simply enters the zone number posted on the sticker, chooses the duration and touches the “start parking” button. ParkMobile will send alerts when the parking session is about to expire so a user can extend time right from the app.
-MathWorks today announced that TÜV SÜD certified MathWorks code generation and verification products are compliant with the second edition of the draft ISO 26262 functional safety standard. Automotive engineers developing high-integrity embedded systems can continue using Simulink and Polyspace products certified in IEC Certification Kit for the next generation of functional safety designs and development. //
Envoy There e-Golfs in Sacramento
More than 20 Volkswagen e-Golf vehicles are now available across Sacramento at over 10 multi-family properties, each with an accompanying Level 2 charging station. The majority of these sites are in disadvantaged communities where drivers can use the “Envoy There” mobile application to use vehicles for a myriad of uses, including personal errands or exploring job opportunities in new areas.
DENSO Buys EASE
DENSO, the world’s second largest mobility supplier, announced today it has acquired EASE Simulation Inc., a company that specializes in automotive diagnostics technology. The company will merge with DENSO Products and Services Americas, Inc., based in Long Beach, Calif., and continue to provide top-quality aftermarket products, services and technology.
AT&T Wireless for Daimler TNA
AT&T and Daimler Trucks North America (DTNA) are taking wireless connectivity for DTNA’s heavy-duty trucks outside North America for the first time.
Today, AT&T provides connectivity for DTNA’s Detroit Connect platform across the U.S. and Canada. The Detroit Connect platform is installed on all new DTNA’s Freightliner Cascadia trucks built for customers in those countries. We will now expand the relationship to cover trucks built for the Australian and European markets.
Daimler Trucks North America can now offer these services outside North America for 2018 model year Freightliners and newer.
AImotive aiWare 3.0
AImotive™, the global provider of full stack, vision-first self-driving technology, announced the release of aiWare3™, the company’s 3rd generation, scalable, low-power, hardware Neural Network (NN) acceleration core. Designed for the rigorous requirements of automotive embedded solutions, aiWare3’s patented IP core delivers unprecedented scalability and flexibility. By delivering new levels of performance in both central processing and sensor fusion units, aiWare3 enables automotive OEMs and Tier One suppliers to achieve L3 autonomy in production in the shortest timescales.
The scalable aiWare3 architecture facilitates low-power continuous operation for autonomous vehicles (AVs) with up to 12 or more high-resolution cameras, LiDARs and/or radar. aiWare3 delivers up to 50 TMAC/s (> 100 TOPS) per chip at more than 2 TMAC/s (4 TOPS) per W1. This makes it optimal for real-time, embedded inference engines with strict power, thermal and real-time constraints. It is ideal for the most processing-intensive NN tasks, such as low-latency, high frame rate segmentation, perception, and classification.
Building on the award-winning aiWare v2 core, aiWare3’s highly configurable and scalable architecture enables OEMs to implement a variety of NN acceleration strategies in their hardware platforms. These can range from centralized NN resources shared among multiple workloads as part of a powerful central processing unit, to pre-processing integrated into each sensor or groups of sensors. Now, OEMs have far greater choice in the ways they approach production AV timescales, by shrinking the size of the electronic control units (ECUs) needed to support high-performance NN processing. The highly autonomous accelerator-based approach used by aiWare also enables customers to maximize re-use of their significant investment in existing hardware and software designs.//
Otonomo, the first neutral automotive data services platform, announced the Anonymization Engine, an integrated service designed to dynamically protect driver data while simplifying anonymous automotive data integration for app developers and service providers. With the Anonymization Engine, OEMs are able to easily maintain driver privacy and comply with regulations such as the EU General Data Protection Regulation (GDPR). App and service providers gain access to valuable, anonymized data that they can confidently use to deliver a wide range of offerings, such as smart city planning and mapping, weather and hazard safety alerts, predictive maintenance and vehicle health management, and traffic pattern research for retail, media and many other use cases.
In May 2018, Otonomo announced the Consent Management Hub which validates driver consent with each personal data request from third-party mobility service providers. With the addition of the Anonymization Engine, Otonomo is poised to address both personalized or anonymized use cases in a single platform.
The Anonymization Engine utilizes sophisticated anonymization techniques to provide robust GDPR-compliant data privacy safeguards while preserving the commercial value of the data, based on its intended use. Service providers and app developers benefit from improved data usability and privacy by design in the Otonomo Platform. Drivers benefit from improved privacy protections and higher quality services available to them.///
New My Routes for Toyota
Nishi-Nippon Railroad Co., Ltd. (Nishitetsu) and Toyota Motor Corporation (Toyota) will begin trials in Fukuoka City from November 1 of the multi-modal mobility service “my route” for smartphones, in collaboration with eight service providers in traffic, shop, and event information.
my route supports mobility services with its route search combining various modes of transport including public transport (such as bus, rail, and subway), automobiles (such as taxis, rental cars, and private vehicles), bicycles, and walking, making reservations and payments as required.
For these trials, Toyota will develop and run the app and payment platform, and provide information on Toyota car-rental services. Nishitetsu will provide information on shops and events (such as its Tenjin site), and will launch an app-exclusive digital Fukuoka City One-day Pass.
TRI-AD Automated Driving Alliance
Toyota Motor Corporation (Toyota), Toyota Research Institute-Advanced Development, Inc. (TRI-AD), and Tokio Marine & Nichido Fire Insurance Co., Ltd. (Tokio Marine & Nichido) announce their agreement to establish a business alliance to develop advanced automated driving technology. Through this alliance, the three companies will strive toward achieving “freedom of movement for all” and a “society with zero casualties from traffic accidents.”
Specifically, Toyota and TRI-AD will recreate actual traffic accident conditions or dangerous conditions that contribute to accidents in their automated driving simulation environment based on data provided by Tokio Marine & Nichido. This will enable Toyota and TRI-AD to conduct simulations and assessments in conditions that are closer to those of the real world, helping to enhance the safety of automated driving systems. Tokio Marine & Nichido will seek to develop an advance claims system to enhance swift claims payment in the future, using data provided by automated driving vehicles.
Additionally, ALBERT, a data science company that offers optimized solutions in the field of big data analytics, will provide technical support for data analysis and other related activities.
To develop advanced automated driving and safety technology, Toyota and TRI-AD utilize both artificial intelligence technology and real-world data to achieve accurate simulations. The ability to pinpoint the causes of traffic accidents and relevant data is extremely important for enhancing system capabilities.
Through this alliance, Toyota, TRI-AD, and Tokio Marine & Nichido will work together to enhance efforts to improve safety and reliability for automated driving technology, utilizing knowledge and data obtained by Tokio Marine & Nichido from its claims and other services.
LEONiQ Predits Using Azure-ance
With LEONiQ, LEONI has developed a key digital technology to make cable systems safer, more reliable and more intelligent. For example, LEONiQ means predictive maintenance is now possible for the first time for a large number of cable systems, thereby reducing the risk of unexpected power and data transmission failures. LEONIQ also costs much less than comparable technical solutions, while also being considerably compacter.
LEONI uses Microsoft Azure Sphere to evaluate the measurement data generated by LEONiQ. By using Azure Sphere, LEONI can bridge the gap much faster between new, digital solutions and customer applications, and increase its hardware performance while addressing security issues around data and equipment in much more detail.
Microsoft’s Azure Sphere is a secure platform which combines three-components: the Azure Sphere microcontroller (MCU), a secure operating system (Sphere OS) and a turnkey cloud security service with which the controllers communicate. The microcontroller’s computing logic is sufficiently powerful to process LEONI’s on-site generated measurement data (i.e. “on the edge”) so that, in extreme cases, it is possible to directly intervene in the cable system as well as transmit only relevant data to the cloud. To give customers even greater convenience and transparency, data transferred to the cloud is evaluated by LEONI using its own algorithms and then made accessible via dashboards.
eBike GM Name Game
ince committing to an all-electric future, General Motors is developing revolutionary, flexible electrification technologies that will enable our team to dream beyond the traditional vehicle and give our customers the freedom of movement that they seek. Today our team brought one of those dreams to life when we revealed two innovative, integrated and connected eBikes – one folding and one compact – without a brand.
We want customers to be involved from the start, so we’re asking enthusiasts from around the globe to help name our eBike brand using www.eBikeBrandChallenge.com. The challenge participant responsible for the selected eBike brand name will receive $10,000 and nine other participants responsible for runner-up submissions will each receive $1,000.
Today through 10 a.m. EST Monday, Nov. 26, consumers can visit eBikeBrandChallenge.com to submit their ideas.
GM is looking for:
- Simple, smart and bold concepts capable of bringing the eBike brand to life.
- Fun ideas capable of being understood around the world.
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