News Article | January 7, 2016
« Hyundai releases initial details on the coming IONIQ hybrid | Main | Audi to use Gen 2 zFAS controller in production e-tron quattro; piloted driving; moving to domain-controlled architecture » Qualcomm subsidiary Qualcomm Technologies, Inc., introduced its latest Qualcomm Snapdragon automotive processors, the Snapdragon 820 Automotive family, offering a scalable next-generation infotainment, graphics and multimedia platform with machine intelligence and a version with integrated LTE-Advanced connectivity. The new processors expand Qualcomm’s automotive technology portfolio, adding to a collection of integrated solutions in the areas of telematics and connectivity, as well as high definition graphics and multimedia for rich infotainment systems, machine intelligence and sensor fusion for advanced driver assistance systems (ADAS), GNSS location technologies, V2X (Vehicle to Vehicle/Infrastructure/Pedestrian) communications for improved safety and driver convenience, and wireless charging for electric vehicles. The recent acquisition of Cambridge Silicon Radio Limited (CSR) has brought additional technology assets to Qualcomm Technologies’ automotive portfolio, including leading Bluetooth, Wi-Fi, audio, and GNSS location technology solutions. Cambridge Silicon Radio Limited is now called Qualcomm Technologies International, Ltd. (QTIL). The combined CSR and Qualcomm Technologies automotive roadmap has already yielded involvement in more than 100 major automotive programs with most global automotive OEMs. Qualcomm Technologies’ highly integrated system-on-chip (SoC) platforms reduce bill-of-materials (BOM) costs, accelerate time-to-market, and reduce overall system risk for OEMs by providing hardened systems and comprehensive software support. Snapdragon 820A. The Snapdragon 820A, introduced at CES 2016, is Qualcomm Technologies’ newest automotive grade system-on-chip (SoC). Qualcomm Technologies has taken a modular approach to designing the Snapdragon 820A, enabling a vehicle’s infotainment system to be upgradable through both hardware and software updates, thereby enabling vehicles to be easily upgraded with the latest technology. The 820A is engineered with custom-built, highly optimized cores designed for heterogeneous computing—the ability to combine its diverse processing engines within the system-on-chip (SoC), such as the CPU, GPU and DSP cores, to achieve previously unattainable performance and power savings. The Snapdragon 820A family is based on 14nm FinFET advanced process node running Qualcomm Technologies’ custom 64-bit Qualcomm Kryo CPU, Qualcomm Adreno 530 GPU, Qualcomm Hexagon 680 DSP with Hexagon Vector eXtension (HVX), Qualcomm Zeroth machine intelligence platform, and the Snapdragon 820Am version with integrated X12 LTE modem capable of 600 Mbps downlink / 150 Mbps uplink. Qualcomm’s first custom-designed 64-bit quad-core CPU, the Kryo CPU uses Qualcomm Symphony System Manager as an intelligent resource management tool for Snapdragon that extends control of task scheduling and power management across the entire processor. The Kryo CPU has 2x performance and efficiency when compared to the CPU of the Snapdragon 810. The Qualcomm Adreno 530 GPU offers 40% improvement to graphics performance, compute capabilities, and power usage when compared to Adreno 430. Significant improvement to the Hexagon 680 DSP enables the CPU to offload many tasks for more efficient processing. The Hexagon 680 DSP also allows for ultra-low power “always-on” sensors and advanced low power-image processing. The new Qualcomm Hexagon 680 DSP brings significant improvement to performance and battery life. The Zeroth initiative, a machine intelligence platform on Snapdragon 820A, is designed to enable automakers to develop state-of-the-art deep learning-based solutions using neural networks for advanced driver assistance systems (ADAS) and in-vehicle infotainment scenarios, and run them efficiently on embedded platforms in the vehicle. Zeroth accelerates execution of deep neural networks using the heterogeneous compute engines that are part of the Snapdragon 820A. A Zeroth-powered development kit for automotive solutions will be available for the Snapdragon 820A. Supporting LTE Category 12 download speeds of up to 600 Mbps, and LTE Category 13 uplink speeds of up to 150 Mbps, the Snapdragon 820 processor with X12 LTE supports 33% faster peak download speeds, and triple the peak upload speeds of Snapdragon 810 processor with X10 LTE. The automotive industry has long been asking for a single scalable solution capable of delivering the rich user experience and level of performance, connectivity and upgradability that consumers are accustomed to on their personal mobile devices – including real-time cloud connectivity and navigation, immersive 4K graphics and video displays, the flexibility of hardware and software upgradability, and the deep learning and remote diagnostic capabilities needed to deliver the next level of safety performance in the vehicle. The Snapdragon 820 Automotive platform has been designed to deliver all of these capabilities and much more. The version with integrated X12 LTE modem is designed to support continuous in-car and cellular connectivity, featuring the leading 4G LTE Advanced Pro that can support up to 600 Mbps download/150Mbps upload speeds, stream HD movies into the car, serve as a Wi-Fi hotspot supporting 802.11ac 2x2 MIMO, connect multiple mobile devices inside the car, and support 802.11p DSRC for V2X (Vehicle to Vehicle/Infrastructure/Pedestrian) communications. Local connectivity inside the car via Bluetooth supports content sharing between mobile devices brought into the car and the car’s infotainment system. Qualcomm Technologies is also helping to lead the 3GPP in developing specifications for automotive V2X, for both LTE release 14 (LTE V2X) and 5G standards. The Snapdragon 820A’s sensor integration provides cognitive awareness and vehicle self-diagnostics, supports ADAS features for improved vehicle safety systems, and provides location and navigation through GNSS and dead reckoning technologies. By integrating advanced camera and sensor processing, the 820A supports critical always-on warnings and emergency services, extends standard cameras to Intelligent Cameras, and supports parking assist periphery vision features using surround view cameras. These features are supported by the on-chip Hexagon 680 DSP with HVX, which supports multiple automotive camera sensors connected simultaneously. The Snapdragon 820A family of automotive-grade processors is designed for the automotive ecosystem and offers a number of features: Qualcomm Technologies is also collaborating with Aisin AW to develop the modular infotainment solution utilizing the Snapdragon 820A. As part of the automotive ecosystem, Neusoft Corporation, industry experts in ADAS Vision solutions, also collaborates with Qualcomm Technologies to provide cognitive vision solutions on Snapdragon 820A, leveraging the compute performance of the HVX vision engine alongside infotainment systems. Automotive samples of the 820A family are expected to be available in Q1 2016. Other Qualcomm automotive solutions. In addition to the new 820A, the combined portfolio of automotive solutions includes:
News Article | February 20, 2017
— Market Highlights Passenger Information System Market is expected to grow at CAGR of ~26.4% during the forecast period and expected to reach market size of US ~$37.5 Billion by the end of forecast period. Rapid increase in average number of vehicles worldwide, is leading to traffic congestions. Therefore, to save travel time, the passengers are opting for public transport services which provide them with real time information using Passenger Information System. Certain facilities such as public announcement for public transports, mobile applications for the information related to the journey and price of tickets, emergency notification and others which are provided by the passenger information system are contributing to the growth of this market. Passenger information systems are being introduced for addressing the needs of fast changing travel environment for buses, trains and other modes of transport. Passenger information system is an effective investment for transporters to offer greater convenience to passengers and offer personalized services to its regular passengers. Implementation of passenger information system will benefit the transport service providers in the long run by ensuring profits. The passenger information system is facilitating the effective scheduling of transport vehicles and delivery of the related data scheduling to the travelers as compared to the manual methods. The passenger information system helps in saving time and cost for both the service providers and the customers. Key Players • Infax, Inc. (U.S.) • Passio Technologies, Inc. (U.S.) • General Electric Company (U.S.) • Huawei Technologies Co. Ltd (China) • Cubic Transportation Systems (U.S.) • Medha Servo Drives Pvt. Ltd (India) • Siemens AG (Germany) • Advantech Corp. (Taiwan) • Televic Rail NV (Belgium) • Neusoft Corporation (China) Market Research Analysis: Market Research Future Analysis shows that the passenger information system provides information to passenger both at station and on vehicle. At stations the passengers are provided with information related to the arrival time of vehicle, the route and destination of the vehicle. The passengers can also know the delays in timing of buses, trains or flights by using the passenger information system. With the help of these information it become easier for passengers to plan their journey effectively. When on vehicle, the passenger gets information regarding the upcoming stations and is also about the addition services by the transport service providers. By the help of all the above information it helps in creating a good customer experience and also generates a repetitive business for the transport providers. Geographically, North America is expected to dominate the passenger information system market with the increasing adoption of public transports in the region. The Europe region is expected to grow due to various government initiatives and its investments in the Passenger Information System (PIS). Asia Pacific region is estimated to witness growth due to the raising standard of living and the increasing awareness about use of internet for availing public transport facilities. Passenger Information System Market The global PIS Market has been segmented on the basis of solutions, components, services and mode of transportation. Solutions comprises of information announcement systems, display systems, emergency communication systems, infotainment systems and passenger information mobile applications among others. Components include multimedia displays, networking devices, communication devices, routers, sensors and others. Services are cloud, professional and integration among others. The modes of transportation are roadways, railways and airways. Related Report Real-Time Locating Systems Market is expected to reach at market size of ~$6 billion by the end of forecast period with CAGR of ~28% between 2016 and 2022 https://www.marketresearchfuture.com/reports/real-time-locating-systems-market About Market Research Future: At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services. For more information, please visit https://www.marketresearchfuture.com/reports/passenger-information-system-market
News Article | November 11, 2016
SHENYANG, China, Nov. 11, 2016 /PRNewswire/ -- Neusoft Corporation ("Neusoft", SSE: 600718), a leading IT solution and service provider in China, today announced that it has been recently named to the "Emerging Markets Top 30 Software Companies" list by PricewaterhouseCoopers (PwC),...
Neusoft Corporation | Date: 2014-12-08
A method and an apparatus for detecting a generalized passerby are provided, the method includes: acquiring an input image; determining whether a preset common feature of a wheel exists in the input image; selecting an image window at left side or right side or upper side of a center of a region where the preset common feature of the wheel is located in a case that the preset common feature of the wheel exists in the input image; inputting the selected image window into a preset upper-body classifier; detecting whether an upper body of a passerby exists in the selected image window and outputting a first detection result.
Neusoft Corporation | Date: 2014-10-29
A system for securely entering particular information includes a mobile device and a background server. The mobile device includes a first area which is a non-secure environment, a second area which is a secure environment and a switching module implementing switchings between the first and second areas. At least one first application module for executing a business function application is provided in the first area. A second application module for executing a particular information entering application and an encryption module for encrypting entered particular information are provided in the second area. If a particular information entering is required by the first application module, the switching module triggers the second application module to perform the particular information entering, and returns, to the first application module, an encryption result obtained by encrypting the entered particular information. The background server includes an authentication module for authenticating the encryption result.
Neusoft Corporation | Date: 2014-10-20
The present invention relates to a remote operation receiving system, for suppressing the generation of the executive results of the action which dont meet the operating aim. The host unit of a local server may enable a target equipment to perform the corresponding action according to a remote operation instruction received from a remote operating device (S400). Based on the history data, the condition variation in the target equipment generated between the operation reference timing to the current timing is detected (S320S345). The operation reference timing refers to the time point when the condition displayed on the screen in a distant device is monitored from the monitoring device when the distant operating device is operated. If the condition variation is relatively large, then the remote operation instruction is abandoned (S430), and if smaller, then the target equipment performs the action to which the remote operation instruction corresponds (S400).
Neusoft Corporation | Date: 2013-07-19
The present invention provides a method for data linkage driven by an event, used for data interaction between a first platform and a second platform. The second platform stores shared information and the method comprises: determining which platform the received event is from; forwarding a data packet from the second platform to the first platform for logical operation processing when the received event is from the second platform; when the received event is information from the first platform that at least includes a shared information operation instruction resulting from logic operation processing of data packets in the first platform, returning a shared information operation instruction completion message to the first platform, meanwhile forwarding the shared information operation instruction to the second platform so as to complete the shared information operation on the second platform. Therefore, the first platform acquires data synchronously without waiting for feedback of the second platform.
Neusoft Corporation | Date: 2015-03-02
A method for detecting a target object in a blind area of a vehicle is provided by embodiments of the application. The method includes: acquiring at least one frame of an image generated by shooting a blind area of a vehicle by a shooting device; extracting an image feature of an area where at least one predetermined detection gate is located in the image; and matching the image feature of the area where the predetermined detection gate is located with a matching template of the predetermined detection gate to determine a target object. An apparatus for detecting a target object in a blind area of a vehicle is further provided by embodiments of the application.
Neusoft Corporation | Date: 2015-03-31
Method and apparatus for detecting obstacle based on monocular camera are provided. The method includes: obtaining a target frame image and its adjacent frame image shot by the monocular camera; deleting an unstable feature point from an initial feature point set of the adjacent frame image to obtain a preferred feature point set; dividing a target feature point set to obtain several target feature point subsets; judging whether the target feature point subset corresponds to obstacle based on a change of a distance between points within a ground projection point set of the target feature point subset from adjacent frame time instant to target frame time instant; and determining a union of all the target feature point subsets which are judged as corresponding to obstacles as an obstacle point set of the target frame image.
Neusoft Corporation | Date: 2012-06-28
An event detection method in a distributed environment includes, when a non-parsable event occurred during grammar parsing, executing the following process until the first grammar parser module obtains a detection result, including the event that the current grammar parser module can not parse in a scheduling request as a next event to be detected and sending it to the grammar control module, scheduling, by the grammar control module, other grammar parser module as the target grammar parser module for further parsing based on the scheduling strategy table, performing grammar parsing based on the local parsing table in the scheduled target grammar parser module, returning parsing results to the grammar control module for further parsing when no non-parsable event is found; or repeating the above process with the target grammar parser module as a new current grammar parser module when an non-parsable event is found.