Automotive AI Companies
There are a number of automotive AI companies in the market today. Some of these companies include Nvidia, a popular manufacturer of system-on-chip units for the automotive industry, and Carfit, which specializes in autonomous driving systems. Nvidia’s accelerated data science solution has been noted for its affordable pricing, faster model iteration, and better prediction. Another notable automotive AI company is Tesla, a cult-like status among electric car enthusiasts. Its autopilot features self-parking, lane change, and navigation on limited access freeways, and it is currently the world’s best-selling plugin passenger car manufacturer.
Carfit, Agro AI, Raven, German Autolabs, Tractable, and Argo AI
Automotive AI companies have been developing systems for years to help drivers interact with informationtainment systems and navigation systems. Last mile delivery drivers, for example, must juggle a lot of tasks in order to make sure packages are delivered on time and with the best customer service. Companies such as German Autolabs are developing next generation voice assistance systems for professional drivers. The company’s technology is already integrated into the VW Crafter.
As the industry moves towards driverless autonomous vehicles, the need for collaboration between automotive manufacturers and Tier 1 suppliers will increase. Several companies are investing in this field. Cars are expensive to produce and their inventory is a big part of their profit. Carmakers must coordinate with Tier 1 suppliers to make sure that inventory is kept under control.
While there are many competitors in the automotive industry, some have found success by combining cutting-edge technology with the latest AI developments. For instance, a new automotive AI system can be incorporated into the dashboard of a car to help the driver recognize a flat tire or low battery indicator. Automotive AI companies that are already testing self-driving vehicles are Carfit, Agro AI, Raven, German Autolabs, and Argo AI.
Other automotive AI companies are working to make self-driving cars a reality. The company’s self-driving technology uses cameras to scan images of damages and predict how much they’ll cost to repair. With this technology, the future of car insurance and auto loan risk management is bright. With artificial intelligence, lenders may be willing to take less risk and increase the profitability of their business.
Agro AI and Raven are also working on their autonomous technology and are pursuing partnerships with automotive manufacturers. Argo, for instance, is working with Ford and has announced plans to expand their testing in California, San Diego, and Texas later this year. If they make it through, Argo will expand their service into Washington D.C., which is its next step.
The EMIL Group provides IoT-based traffic management solutions, including software to track traffic. They also offer services and systems for intelligent robotics. Their AI systems and robots are capable of monitoring, problem-solving, and predictive maintenance. They have also developed virtual assistants. This technology has the potential to revolutionize the automotive industry.
As far as carmakers are concerned, Tesla has led the way with an autonomous driving technology. Its Autopilot system offers features including adaptive cruise control, self-parking, and automatic lane-centering. It can even navigate on limited access freeways and summon a car to park. This autonomous technology has helped the company gain a worldwide presence and was ranked as the best-selling plug-in passenger car manufacturer in 2018.
IBM
IBM is one of the top automotive AI companies, with its Waymo and Watson autobots reimagining the future of driving. IBM has won a patent on artificial intelligence that could help automobile manufacturers make better vehicles. It has also created a mobility-as-a-service platform, which runs in the IBM Cloud. In the near future, Vinturas plans to use IBM Blockchain to improve transparency in the purchase of cars.
For example, the Watson AI platform is being used in car manufacturing by Local Motors, which makes electric cars for up to 12 people. Another IBM automotive AI company is using the Watson platform to develop cars that can communicate with drivers. The IBM-developed software can analyze large volumes of data, including driving behaviors, to help motorists make the best decisions. In 2015, IBM partnered with PSA Group to connect cars to the Internet. In 2016, General Motors said it would use IBM Watson software to identify drivers and marketing services to them.
With a variety of sensors available, IBM is developing new technologies for autonomous vehicles. Its AI technology uses Lidar to map 3D space via light, Radar to measure motion with radio waves, and cameras to recognize objects using texture interpretation. The company also deploys cognitive capabilities to its ADAS platform. Its primary goal is to make the vehicle self-driving system as human-like as possible. These vehicles will be used in semi-autonomous mode and will require AI to run.
While fully autonomous vehicles are still a decade or so away, the development of semi-autonomous vehicles has begun. The company has already developed a prototype that demonstrates level four autonomy. It is expected to debut in the US market by 2020. But it’s not a fad, but it’s still early days. Semi-autonomous vehicles will arrive on the road by then. However, the company has been making good progress with its Watson artificial intelligence technology and is generating revenue from sales of the software to developers of automakers.
AI is fast-changing the auto industry. Driverless cars and drones are hot topics of conversation. But AI is advancing the field of automated driving, and automakers and suppliers are increasingly looking at it as a means to compete with software giants. In fact, AI is an essential tool in the hyper-premiumization of function. But the question is how much will these new innovations improve the car industry? And how can it compete with the technology that makes it so popular?
IBM IoT Connected Vehicle Insights is a great example of this. It integrates real-time data from vehicle sensors and uses analytics to analyze driving habits. Its dedicated cloud service links in with other information systems in the cloud. With connected vehicles, automakers can diagnose potential safety and quality issues and improve collision avoidance systems. Real-time weather data can even help improve collision avoidance systems. The SaaS platform provides advanced navigation features. It also predicts destination based on driving patterns.
Ford
Ford and Argo AI will partner to develop virtual driver systems for autonomous vehicles. Ford has a leading autonomous vehicle development program and the new partnership will combine their strengths. Ford plans to deploy a fully autonomous vehicle by 2021. Ford Smart Mobility LLC will be charged with implementing a commercialization strategy for autonomous vehicles and will consider various options for advancing their use. The companies will continue to develop their own artificial intelligence software and hardware platforms, and will continue to collaborate on other areas including the design of autonomous vehicles, interiors and exteriors, regulatory policy management and autonomous systems integration.
For example, Ford’s AI program includes an app to recognize different types of air ducts. It also includes a machine learning model that was created by its logistics team. The AI-developed application will cut shipping costs by millions of dollars. AI technology also has the potential to help companies automate a variety of business processes, including the production process. Ford uses AI to streamline quality assurance by detecting wrinkles in car seats and support its supply chain and resource management. Another example is its use of CarStory, a platform for analyzing and presenting information on used cars. The AI system analyses the uniqueness of each vehicle and then compiles a report on it.
Ford’s SYNC infotainment system is a case in point. Ford is working with Baidu to address the needs of the Chinese market for connected automobiles. SYNC features a voice-activated intelligent assistant, video streaming, and a FordPass app for payment and info exchange. The system will eventually become a central hub for payments and services. If this technology becomes widespread, Ford may have a better chance of surviving in the 21st century.
While AI can be used to improve manufacturing and mobility, it also brings up ethical issues. Ford has met with over 1,000 startups in Silicon Valley and developed software for the car manufacturing process. For example, one startup developed an app that detected wrinkles on the seats of a car. Another developed an image recognition technology for the automotive manufacturing process. These technologies are used to improve quality assurance and improve the production process. A lot of these companies have different degrees of impact, but they all help improve the overall product experience.
With a $100 million stand-alone joint venture with ADT, Ford plans to use Canopy to prevent theft. It will include cameras facing the back of the vehicle and will use AI to identify credible threats. When suspicious sounds are detected, the system will alert the vehicle owner and notify the appropriate authorities. The collaboration between Ford and ADT is expected to grow exponentially. And a Ford security system is already at the top of customers’ minds.
