Drive Data Platform

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Develop for tomorrow’s cars today.

The automotive industry is going through an unprecedented transformation. Shared mobility services are changing the definition of car-ownership, cars are becoming carbon-emissions free with EV vehicles, and the race towards automated driving is heating up across the industry. At the same time, the car itself is becoming a sensor hub, generating tons of data (e.g. connected car is expected to generate 1.1PB of data per day by 2020). 

 

To help the automotive industry in an innovative, and cost-effective, manner, Qualcomm Technologies, Inc. has created the Qualcomm® drive data platform, which uses cutting-edge technology to intelligently collect and analyze data from different vehicle’s sensors to facilitate smarter vehicles that can determine their location, monitor and learn driving patterns, perceive their surroundings and share this perception with rest of the world reliably and accurately. These capabilities will be key for many connected car applications, from shared mobility and fleet management to 3D High definition mapping and future automated driving.  

Drive past developmental roadblocks.

Key fundamental technological innovations, and integration of these technologies in a cost-effective way, will be crucial for supporting Advanced Driver Assistance Systems (ADAS) and next generation automotive services, such as shared mobility and autonomous driving. 

Highly accurate and cost effective localization

Precise location is crucial for navigation, 3D high resolution mapping, autonomous driving, and shared mobility services. For example, autonomous vehicles need to precisely locate themselves on an HD map, understand where they are relative to the world, determine their route and safely stay within the confines of the road/lane. This will require innovation in computer vision, sensor processing and location technologies, such as GNSS with Dead Reckoning (DR) and Visual Inertial Odometry (fusing information from cameras and motion sensors).

Comprehensive understanding of road conditions

Next generation vehicles need to perceive their surroundings and share this information with rest of the world reliably and accurately. For example, they need to understand their road environment (road signs, lane markers, etc.), and analyze data about driving patterns to improve autonomous driving. Qualcomm’s long-term investments and research in on-device machine learning, sensor fusion and computer vision that are optimized for low power heterogeneous compute platforms will allow the vehicles to become more intelligent in accurately perceiving the world. The accuracy of perception and machine learning for decision making is critical for different levels of autonomy.

Connectivity with everything around the car and the cloud

Autonomous cars will rely on high fidelity sensor information sharing and 3D mapping to safely navigate their environment. Our leading Gigabit class LTE modems and 5G  leadership will enable autonomous cars to download high resolution maps and share other necessary sensor and driving information. Additionally, Vehicle-to-everything (V2X) is becoming a key technology for enabling fully autonomous driving. V2X complements the capabilities of other sensors that are limited by line of sight (e.g. radar, LiDAR and camera systems) by providing 360-degree non-line-of sight awareness, extending a vehicle’s ability to “see” further down the road – even at blind intersections or in bad weather conditions. Currently, Qualcomm Technologies has 802.11p-based solutions and is pioneering Cellular V2X on the path to 5G.

Precise positioning

Offer precise positioning with sub-meter accuracy by using embedded GNSS with DR, augmented positioning with Visual Inertial Odometry (VIO) and cloud based assistance for enhanced positioning.

On-device machine learning

On-device machine learning will play a key role in resolving data from different sensors and providing vehicles with visual perception to understand road environments, from recognizing traffic signs and road conditions to identifying vehicles and pedestrians. 

To support the automotive ecosystem, Qualcomm Technologies offers a deep learning software development kit (SDK). The SDK, called the Qualcomm® Snapdragon™ Neural Processing Engine (NPE), is optimized to utilize the Snapdragon heterogeneous compute capabilities to provide OEMs a powerful, energy efficient platform for delivering next level of intelligence. 

Heterogeneous connectivity

Easily integrate information across systems by including the world’s first announced Gigabit Class LTE modem, leading multi-mode modem technology, V2X (e.g. 802.11p), Wi-Fi and BT LE.

Explore what powers our Drive Data Platform.

Qualcomm® Snapdragon™ 820 Automotive Processor from Qualcomm Technologies, Inc.

As the first commercially announced, automotive-grade processor with an optional integrated X12 LTE modem capable of Cat 12 speeds, the Snapdragon 820 Automotive processor delivers the next level of intelligence and unprecedented mobile connectivity. The NPE and Qualcomm® Symphony SDKs from Qualcomm Technologies, Inc. are designed to allow our customers to spread the neural networks’ workloads between the heterogeneous computing engines, such as Computer Processing Unit (CPU), Graphical Processing Unit (GPU), and Digital Signal Processor (DSP), within the Snapdragon 820 automotive processor; maximizing the computational performance and power efficiency of our SoC. 

X12 LTE Modems

Qualcomm Technologies’ V2X technologies are designed to connect vehicles to each other (V2V), to pedestrians (V2P), to roadway infrastructure (V2I) and to the network (V2N). V2X also enhances ADAS, facilitating significant potential value to a wide range of safety features, including improved safety, better traffic efficiency and enhanced situational awareness. Currently, Qualcomm Technologies has 802.11p-based solutions and is pioneering Cellular V2X on the path to 5G.

Cellular-V2X

Qualcomm’s V2X technologies are designed to connect vehicles to each other (V2V), to pedestrians (V2P), to roadway infrastructure (V2I) and to the network (V2N). V2X also enhances ADAS, bringing significant value to a wide range of safety features, including improved safety, better traffic efficiency and enhanced situational awareness. Currently, Qualcomm has 802.11p-based solutions and is pioneering Cellular V2X on the path to 5G.

Qualcomm wins TU-Automotive Award.

Best Auto Mobility Product/Service with the Qualcomm Drive Data Platform.

Qualcomm® drive data platform demo

2 mars 2017

3:30

Explore our automotive infotainment development tools.

The Snapdragon Automotive Development Platform (ADP) is designed to provide a full-featured environment for rapid development of high-performance, power-efficient and connected infotainment applications. The integrated system approach includes a Snapdragon automotive processor, related chipset elements, and a comprehensive software solution that can help lower development cost, reduce risk and increase development speed.

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