Automotive Artificial Intelligence in All

NVIDIA DriveWorks software allows cars to receive over-the-air updates to add new features and capabilities throughout the life of a vehicle. The company invests mainly in R&D every year, with more than 20% of the overall revenue. NVIDIA, being ann important name in the AI market, has partnerships with various automotive companies such as Audi, Toyota, Tesla, Mercedes-Benz, Volvo, Honda, and BMW

Intel has designed Deep Learning Inference Accelerator (DLIA), an integrated hardware, software frameworks and libraries such as Intel Math Kernel Library for Deep Neural Networks (MKL-DNN) and Caffe, which simplifies the neural-network acceleration for image processing applications. The company has a strong and successful R&D model. They invest approximately 20% of its revenue in R&D every year. Strong and successful R&D model has allowed the company to maintain technology leadership. In addition, the company's strong focus on R&D and product innovation enabled it to enhance the appeal of its portfolio

Alphabet provides Tensor Processing Unit (TPU), a custom ASIC built specifically for machine learning and customised for TensorFlow. The company invests mainly in R&D, which is almost 15% of the total revenue, to provide enhanced product features. In addition to this, the company is expanding its product line in the AI segment. The company stands very high rated for its product strategies

Accurate Perception - Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. Simulation - Baidu's Automatic Grading System tests via ten metrics: Collision detection, Traffic light recognition and logic, Speed limit, Detection of objects out of lane, End-of-route logic etc HD Map and Localization - Their localization system is a comprehensive positioning solution with centimeter level accuracy based on GPS, IMU, HD map, and a variety of sensor inputs Intelligent Control - The Apollo intelligent vehicle control and canbus-proxy modules are precise, broadly applicable and adaptive to different environments. The modules handle different road conditions, speeds, vehicle types and canbus protocols. Apollo provides waypoint following capability with a control accuracy of ~10 cm

IBM has developed an AI platform called IBM Watson. Watson learns from more than 30 sensors embedded throughout the vehicle to enhance its understanding of passengers’ needs and preferences IBM offers hardware and AI platform, which are used in predictive maintenance, performance analysis, and prescriptive maintenance. Such a vast breadth of offering with continuous technological innovations and expanding the features makes the rating of IBM products strategy very high. The chip provides advanced technology in image recognition and can accurately classify image data efficiently. The hardware can be deployed in mobile computing, IoT, robotics, autonomous cars, and high-performance computing (HPC)

Microsoft offers various AI-based solutions in manufacturing such as Cortana Intelligence Suite and Azure. Cortana Intelligence Suite has been built with digital personal assistant and NLP technology. The company has a moderate number of AI-related offerings in the automotive segment. It invests around 12% of its revenue on R&D activities every year. Its strong portfolio, along with continuous technological advancements, is one of the reasons why Microsoft has a high rating for its product offerings

Nuance’s Dragon Drive platform enables the user experience of tomorrow in the cars of today, understanding individual preferences, personalizing entertainment and executing complex, contextual commands. It can find preferred parking, play users' favorite songs, direct them to the best-priced gas stations and turn up the voices they need to hear while muting the ones they don’t. Nuance supports automakers with capabilities that maximize the safety, productivity and enjoyment of customer journeys while elevating the identity of each unique brand

BrainChip Ships First BrainChip Accelerator To a Major European Car Maker for Evaluation in ADAS and AV Systems. BrainChip Accelerator will be evaluated for use in Advanced Driver Assisted (ADAS) and Autonomous Vehicle (AV) applications. BrainChip Accelerator increases the performance of object recognition provided by BrainChip Studio software and algorithms.

Qualcomm develops, designs, manufactures, and markets digital telecommunication products and services. The company's strong R&D has enabled it to win a number of patents. According to the company, it has the most widely and extensively licensed portfolio in the industry with over 285 licensees of all commercially deployed forms of CDMA and their derivatives require the use of Qualcomm patents. The company's robust R&D capabilities that enabled it to develop a strong patents portfolio offer technological leadership to Qualcomm over its peers. It will enable it to introduce new products in a timely manner and enhance its existing products. This would enhance the appeal of its products thus enabling it to effectively retain and gain new customers.

Argo AI develops robotics and artificial intelligence solutions for self-driving vehicles. Argo has acquired Princeton Lightwave, a company with extensive experience in the development and commercialization of LiDAR sensors. The technology that underpins their lineup of LiDAR sensors which already serves the commercial mapping and defense industries will help them extend the range and resolution needed to achieve self-driving capability in challenging urban environments

Arm’s newest chip design called the Cortex-A65AE is designed around the idea of being able to handle the stream of data from a self-driving car’s sensors in near real-time, but with new safety features intended to make the chips better suited to cars, where glitches that are minor annoyances in consumer electronics could lead to crashes

AImotive provides OEMs the necessary global scalability, accessibility and safety to rapidly meet the needs of billions of people all over the world. Their unique toolset is engineered to cater to all the challenges of autonomous mobility, powered by advanced artificial intelligence, simulation technology, and supporting hardware architectures

The Radeon Instinct™ MI60 compute card is designed to deliver high levels of performance for deep learning, high performance computing (HPC), cloud computing, and rendering systems. This new accelerator is designed with optimized deep learning operations, class-leading double precision performance1, and hyper-fast HBM2 memory delivering 1 TB/s memory bandwidth speeds

Xilinx was the first company in the programmable logic device (PLD) industry to ship 45-nm high-volume, 28-nm, 20-nm and 16nm FPGA devices. The company provides FPGAs for applications in various industries. For the automotive industry, the FPGAs are optimized for cost and power with small form-factor packaging for high-volume automotive applications. At the end of 2016, the company held over 3,500 issued US patents and over 300 pending US patent applications. The company's continuous focus on R&D enables it to address the diverse and evolving needs of the PLD market.

Harman International is engaged in designing, manufacturing, and marketing audio and infotainment solutions for the automotive, consumer and professional markets. offers solutions in the connected car segment for applications such as embedded infotainment, telematics, connected safety, and security. The embedded infotainment application provides complete information, entertainment and communications capabilities with 3D and augmented navigation, multimedia support and smart apps for device integration, high speed connectivity, intuitive and multimodal user interfaces, and automotive cloud services

nuTonomy is developing a complete solution for providing point-to-point mobility via large fleets of autonomous vehicles; this includes software for autonomous vehicle navigation in urban environments, smartphone-based ride hailing, fleet routing and management, and controlling a vehicle remotely through teleoperation

Nauto is an autonomous vehicle technology system that offers an AI-powered connected camera network and smart cloud system for its clients. It identifies dangers and alerts the drivers and provides coaching and feedback at the end of trips. Nauto’s real-time sensors and visual data help fleet managers detect and understand the cause of accidents and reduce false liability claims. Nauto aims to gain understanding of what causes near-misses, scrapes, and accidents at every level and to deliver insights back to cities that can help them control traffic and even street design to eliminate fatal accidents

Nuro's vehicle is a fully autonomous, on-road vehicle designed to transport goods — quickly, safely, and affordably. Nuro’s vehicle is designed to be fully self-driving, so it does not have space for a driver or passengers Nuro is focused on deliveries, specifically the kind that are low-speed, local, and last-mile: groceries, laundry, or your take-out order from Seamless

BRAIQ personalizes the ride experience in autonomous vehicles by teaching artificial intelligence how to understand human emotions. BRAIQ uses various sensors to gather biometric information to recognize the driver’s emotional and stress states, and personalizes its driving style for automated driving using AI deep learning, to increase passenger comfort and enhance the automated driving experience.

Drive.ai uses artificial intelligence to create self-driving transportation solutions that improve the state of mobility Drive.ai offers turnkey mobility solutions with self-driving cars for partners and communities, solving for their unique and everyday transportation needs What sets Drive.ai’s approach apart is its use of screens on the van’s exterior. These four panels—each 22.5 by 7.5 inches, on the hood, on the rear, and just above each of the front wheels—are the vehicle’s voice

FiveAI is using the power of autonomy to transform Europe's autonomous driving scenario. The concept behind the project is to have a vehicle fitted out with sensors all being processed by a central computer capable of ‘machine learning’. In essence – capable of picking up information from encounters and applying it to future situations. “It uses sensors to perceive what’s out there – identifying things like road, pavement, street signs, pedestrians and other cars

Zoox develops fully autonomous vehicles and the supporting ecosystem required to bring this technology to market. Using a combination of technologies such as robotics, machine learning, and design. Zoox aims to provide the next generation of mobility-as-a-service in urban environments