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Automotive: The Age Of The Mobility Ecosystem

@machinelearnbot

Ask any automotive executive the following question: "Which part of your car generates the most power?" Their answer will likely influence your purchase decision significantly. If that person answers, "the engine" or "the powertrain," you'll know you are dealing with someone at least 10 years behind the times. The part of a car that generates the most power is the smartphone. It is the centerpiece of everything that happens between the car, its owner, and its manufacturer.


New Qualcomm auto chipset advances vehicle-to-everything communications

ZDNet

Qualcomm on Friday is introducing a new Cellular Vehicle-to-Everything (C-V2X) chipset and reference design that should bring automakers one step closer to deploying the communications systems needed for fully autonomous vehicles. The Qualcomm 9150 C-V2X chipset, expected to be available for commercial sampling in the second half of 2018, is based on specs from the 3rd Generation Partnership Project (3GPP), a collaboration between groups of telecommunications associations. Meanwhile, Qualcomm's C-V2X reference design will feature the 9150 C-V2X chipset, an application processor running the Intelligent Transportation Systems (ITS) V2X stack, as well as a Hardware Security Module (HSM). Qualcomm already has mulitple automotive partners endorsing the new chipset, including Ford, Audi, the PSA Group and SAIC. "We welcome Qualcomm Technologies' cellular-V2X product announcement, as the automotive industry and ecosystem work towards C-V2X implementation, and pave the path to 5G broadband and future operating services," Don Butler, executive director of Connected Vehicle and Services at Ford, said in a statement.


Envisioning A Data-Enabled, $2 Trillion Automotive Ecosystem Before Autonomy Is Real

#artificialintelligence

The automotive ecosystem is an almost $2T marketplace which consists of a large number of integrated markets. Beyond the automotive OEMs, these include rental companies, auto financing, auto insurance, gas stations (energy), media (radio, billboard in particular), maintenance services, public sector infrastructure, and even emergency services. Autonomous capability has been touted as the disruptive change agent by the media and investors alike. However, autonomy has proven to be very difficult at a technological level. As "Measurable Safety, The Missing Ingredient To Demonstrating ADAS Value" discusses, even ADAS, the simpler poor cousin to advanced mobility systems, is not ready for prime time.


Are Driverless Cars Safe? Automotive Vehicles May Cause Over-Reliance

International Business Times

Certain kinds of autonomous vehicles may not be safe, especially in an emergency situation, according to a new study published by the Lords Science and Technology Committee on Wednesday. With driverless technology, drivers may become over-reliant and complacent. However, with the development in the automotive technology over time, accidents by human error may be significantly reduced -- but they just might increase before they do. The committee also reported people may use driverless cars for shorter distances, as well, causing laziness and may prevent them from "getting exercise by walking." The UK Economic Opportunity split vehicles into levels from 0 to 5. Zero was fully controlled by an individual, and five was completely automated.


Top 5 Artificial Intelligence Startups That Impact The Automotive Industry

#artificialintelligence

To provide you with actionable innovation intelligence and to showcase the Top 5 Artificial Intelligence Startups, we carried out extensive research and analyzed 500 startups. Let's take a look at the results: Below, you'll see a visual representation of the global distribution of the 500 automotive Artificial Intelligence startups we screened for this short-read. Automotive companies are hard at work to make level 5 autonomy a reality. One of them is Argo AI, a Pennsylvania-based company deploying the latest advancements in artificial intelligence, machine learning, and computer vision to build reliable self-driving system. Their systems are currently being tested around cities in the US.