For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/nxp/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Tom Wilson, ADAS Product Line Manager at NXP Semiconductors, presents the "Sensing Technologies for the Autonomous Vehicle" tutorial at the May 2016 Embedded Vision Summit.
Autonomous vehicles will necessarily utilize a range of sensing technologies to see and react to their surroundings. We are witnessing dramatic advances not just for embedded vision, but also in complementary technologies like radar and LiDAR. Each of these sensing technologies provides unique capabilities for giving a vehicle a complete view of its surroundings. This presentation compares vision-based sensing with complementary sensing technologies, explores key trends in sensors for autonomous vehicles, and analyses challenges and opportunities in fusing the output of multiple sensor technologies to enable robust perception and mapping for autonomous vehicles.
LIDAR Market Size, Share, Global Trends, segmentation and Forecast, 2013 - 2020Allied Market Research
Supplementing the growth of LIDAR Market as a whole are rising demand of 3D imaging technology across various application areas, and the increasing adoption of aerial LIDAR systems to explore and detect places, historic details, etc. On the other hand, low awareness about the benefits of LiDAR systems and the use of expensive components in LiDAR systems viz., laser scanner, navigation system, high-resolution 3D cameras, etc. collectively increases the cost of LiDAR systems.
A presentation given at the 2016 Traffic Safety Conference during Closing Session: Technologies Enhancing Transportation Safety. By Roger Berg, Vice President, North America Research and Development, Denso International America, Inc.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/nxp/embedded-vision-training/videos/pages/may-2016-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Tom Wilson, ADAS Product Line Manager at NXP Semiconductors, presents the "Sensing Technologies for the Autonomous Vehicle" tutorial at the May 2016 Embedded Vision Summit.
Autonomous vehicles will necessarily utilize a range of sensing technologies to see and react to their surroundings. We are witnessing dramatic advances not just for embedded vision, but also in complementary technologies like radar and LiDAR. Each of these sensing technologies provides unique capabilities for giving a vehicle a complete view of its surroundings. This presentation compares vision-based sensing with complementary sensing technologies, explores key trends in sensors for autonomous vehicles, and analyses challenges and opportunities in fusing the output of multiple sensor technologies to enable robust perception and mapping for autonomous vehicles.
LIDAR Market Size, Share, Global Trends, segmentation and Forecast, 2013 - 2020Allied Market Research
Supplementing the growth of LIDAR Market as a whole are rising demand of 3D imaging technology across various application areas, and the increasing adoption of aerial LIDAR systems to explore and detect places, historic details, etc. On the other hand, low awareness about the benefits of LiDAR systems and the use of expensive components in LiDAR systems viz., laser scanner, navigation system, high-resolution 3D cameras, etc. collectively increases the cost of LiDAR systems.
A presentation given at the 2016 Traffic Safety Conference during Closing Session: Technologies Enhancing Transportation Safety. By Roger Berg, Vice President, North America Research and Development, Denso International America, Inc.
Implementing intelligent traffic control system for congestion control, ambula...LeMeniz Infotech
Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection
This paper presents an intelligent traffic control system to pass emergency vehicles smoothly. Each individual vehicle is equipped with special radio frequency identification (RFID) tag (placed at a strategic location), which makes it impossible to remove or destroy. We use RFID reader, NSK EDK-125–TTL, and PIC16F877A system-on-chip to read the RFID tags attached to the vehicle. It counts number of vehicles that passes on a particular path during a specified duration. It also determines the network congestion, and hence the green light duration for that path. If the RFID-tag-read belongs to the stolen vehicle, then a message is sent using GSM SIM300 to the police control room. In addition, when an ambulance is approaching the junction, it will communicate to the traffic controller in the junction to turn ON the green light. This module uses ZigBee modules on CC2500 and PIC16F877A system-on-chip for wireless communications between the ambulance and traffic controller.
Web : http://www.lemenizinfotech.com
web : http://www.lemenizinfotech.com/embedded-ieee-projects-2016-2017/
Web : http://ieeemaster.com
Web : http://ieeemaster.com/embedded-ieee-projects-2016-2017/
Address: 36, 100 Feet Road(Near Indira Gandhi Statue), Natesan Nagar, Pondicherry-605 005
Contact numbers: +91 95663 55386, 99625 88976 (0413) 420 5444
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
The use of RPAS by the emergency services is growing and their impact is significant. In this session attendees heard examples of how RPAS have been implemented in Europe, their impact and how the identified challenges are being met.
The opportunities presented by the roll-out of LTE are significant but are those challenges well known? In this session attendees heard from experts about how the emergency services will potentially benefit from LTE and how the rollout will impact on the emergency services.
An automotive night vision system uses a thermographic camera to increase a driver's perception and seeing distance in darkness or poor weather beyond the reach of the vehicle's headlights. Such systems are offered as optional equipment on certain premium vehicles. The first introduction was in 2000 on Cadillac Deville.
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceWiley Jones
Autonomous Vehicle Webinar. Crash course in AVs: high-level overview, technology deep-dives, and trends. Follow me on Twitter at https://twitter.com/wileycwj.
Link to YouTube Video: https://www.youtube.com/watch?v=CruCp6vqPQs
Google Slides: https://docs.google.com/presentation/d/1-ZWAXEH-5Xu7_zts-rGhNwan14VH841llZwrHGT_9dQ/edit?usp=sharing
In highly populated countries, people lose their lives because of accidents and poor emergency facilities every day. These lives could have been saved if medical facilities are provided at the right time. This thesis implies a system which is a solution to this drawback, when a vehicle meets with an accident immediately, accelerometer module detects the signal, and it is sent to the Arduino microcontroller programmed by C programming language. Arduino sends an alert message through the GSM module including the location to the police station or a rescue team. So the police can immediately trace the location through the GPS modem after receiving the information. LCD is used to display location message from GPS module. The system is simulated and practically designed by the use of required hardware components and the results are satisfied with the expectation. Yu Yu Mon Win | Moe Myint Aung | Thin Thin "Accident Detection System using Arduino Uno" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27840.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/27840/accident-detection-system-using-arduino-uno/yu-yu-mon-win
Overview of RTLS or Real Time Locating Systems, specifically the available options, how they work and what you can reasonably expect for your application. Originally presented at the Automatic Identification Teachers' Institute at the University of Memphis on May 25th, 2016.
Materiale presentato durante il seminario "Auto. L'infomobilità e l'innovazione prevedibile", tenutosi lunedì 25 febbraio 2019 presso il Polo del '900, Torino
How to Leverage an Ecosystem Collaboration to Create a Versatile and Scalable...HEINZ OYRER
At the heart of self-driving technology is LiDAR (light detection and ranging), a vehicle vision system that allows driverless cars to see. LeddarTech provides an automotive LiDAR development platform that enables the mass deployment of solid-state LiDAR systems for Tier-1 suppliers and system integrators and offers an ecosystem of leading world-class automotive suppliers who provide prequalified sourcing options for components and software to use in the design of solid-state LiDARs. This session will discuss the advantages of a unique approach that enables developers and integrators to build a customized solution around a core (LeddarEngine), rather than buying a prebuilt product.
In this program FAA's Director of NextGen Performance and Outreach, Gisele Mohler, discusses how NextGen initiatives impact general aviation, and how they can enhance safety.
ACCIDENT PREVENTION IN VEHICLE WITH EFFECTIVE RESCUE OPERATIONYoga Lakshmi
In this project ,we provide accident prevention using different sensor simulation where as the vehicle is stopped slowly an driver status is transmitted to nearby hospital(using GPS technology) for immediate rescue operation.
Intelligent Traffic Light System to Prioritized Emergency Purpose Vehicles ba...Prince Nani
we worked a lot and expected any merit for our presentation and finally our expectations was succeeded and we got best presentation award in national conference at AITS rajampet....so this is a colour ful and perfect presentation and fit for any symposiums so friends prepare well and present well .......T.C frm prince nani,sameernath
Implementing intelligent traffic control system for congestion control, ambula...LeMeniz Infotech
Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection
This paper presents an intelligent traffic control system to pass emergency vehicles smoothly. Each individual vehicle is equipped with special radio frequency identification (RFID) tag (placed at a strategic location), which makes it impossible to remove or destroy. We use RFID reader, NSK EDK-125–TTL, and PIC16F877A system-on-chip to read the RFID tags attached to the vehicle. It counts number of vehicles that passes on a particular path during a specified duration. It also determines the network congestion, and hence the green light duration for that path. If the RFID-tag-read belongs to the stolen vehicle, then a message is sent using GSM SIM300 to the police control room. In addition, when an ambulance is approaching the junction, it will communicate to the traffic controller in the junction to turn ON the green light. This module uses ZigBee modules on CC2500 and PIC16F877A system-on-chip for wireless communications between the ambulance and traffic controller.
Web : http://www.lemenizinfotech.com
web : http://www.lemenizinfotech.com/embedded-ieee-projects-2016-2017/
Web : http://ieeemaster.com
Web : http://ieeemaster.com/embedded-ieee-projects-2016-2017/
Address: 36, 100 Feet Road(Near Indira Gandhi Statue), Natesan Nagar, Pondicherry-605 005
Contact numbers: +91 95663 55386, 99625 88976 (0413) 420 5444
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
The use of RPAS by the emergency services is growing and their impact is significant. In this session attendees heard examples of how RPAS have been implemented in Europe, their impact and how the identified challenges are being met.
The opportunities presented by the roll-out of LTE are significant but are those challenges well known? In this session attendees heard from experts about how the emergency services will potentially benefit from LTE and how the rollout will impact on the emergency services.
An automotive night vision system uses a thermographic camera to increase a driver's perception and seeing distance in darkness or poor weather beyond the reach of the vehicle's headlights. Such systems are offered as optional equipment on certain premium vehicles. The first introduction was in 2000 on Cadillac Deville.
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceWiley Jones
Autonomous Vehicle Webinar. Crash course in AVs: high-level overview, technology deep-dives, and trends. Follow me on Twitter at https://twitter.com/wileycwj.
Link to YouTube Video: https://www.youtube.com/watch?v=CruCp6vqPQs
Google Slides: https://docs.google.com/presentation/d/1-ZWAXEH-5Xu7_zts-rGhNwan14VH841llZwrHGT_9dQ/edit?usp=sharing
In highly populated countries, people lose their lives because of accidents and poor emergency facilities every day. These lives could have been saved if medical facilities are provided at the right time. This thesis implies a system which is a solution to this drawback, when a vehicle meets with an accident immediately, accelerometer module detects the signal, and it is sent to the Arduino microcontroller programmed by C programming language. Arduino sends an alert message through the GSM module including the location to the police station or a rescue team. So the police can immediately trace the location through the GPS modem after receiving the information. LCD is used to display location message from GPS module. The system is simulated and practically designed by the use of required hardware components and the results are satisfied with the expectation. Yu Yu Mon Win | Moe Myint Aung | Thin Thin "Accident Detection System using Arduino Uno" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27840.pdfPaper URL: https://www.ijtsrd.com/computer-science/other/27840/accident-detection-system-using-arduino-uno/yu-yu-mon-win
Overview of RTLS or Real Time Locating Systems, specifically the available options, how they work and what you can reasonably expect for your application. Originally presented at the Automatic Identification Teachers' Institute at the University of Memphis on May 25th, 2016.
Materiale presentato durante il seminario "Auto. L'infomobilità e l'innovazione prevedibile", tenutosi lunedì 25 febbraio 2019 presso il Polo del '900, Torino
How to Leverage an Ecosystem Collaboration to Create a Versatile and Scalable...HEINZ OYRER
At the heart of self-driving technology is LiDAR (light detection and ranging), a vehicle vision system that allows driverless cars to see. LeddarTech provides an automotive LiDAR development platform that enables the mass deployment of solid-state LiDAR systems for Tier-1 suppliers and system integrators and offers an ecosystem of leading world-class automotive suppliers who provide prequalified sourcing options for components and software to use in the design of solid-state LiDARs. This session will discuss the advantages of a unique approach that enables developers and integrators to build a customized solution around a core (LeddarEngine), rather than buying a prebuilt product.
In this program FAA's Director of NextGen Performance and Outreach, Gisele Mohler, discusses how NextGen initiatives impact general aviation, and how they can enhance safety.
ACCIDENT PREVENTION IN VEHICLE WITH EFFECTIVE RESCUE OPERATIONYoga Lakshmi
In this project ,we provide accident prevention using different sensor simulation where as the vehicle is stopped slowly an driver status is transmitted to nearby hospital(using GPS technology) for immediate rescue operation.
Intelligent Traffic Light System to Prioritized Emergency Purpose Vehicles ba...Prince Nani
we worked a lot and expected any merit for our presentation and finally our expectations was succeeded and we got best presentation award in national conference at AITS rajampet....so this is a colour ful and perfect presentation and fit for any symposiums so friends prepare well and present well .......T.C frm prince nani,sameernath
Scan 360 provides low cost intruder detection to protect people, vulnerable infrastructure or high value assets where secure perimeters need to be established or maintained.
Volvo Presents: Support for ISO 26262 in the EAST-ADL/AUTOSAR ContextTorben Haagh
Volvo Presents: Support for ISO 26262 in the EAST-ADL/AUTOSAR Context
Download the full presentation for FREE here: http://bit.ly/Slideshare_Volvo_Presentation
Dr. Oscar Ljungkrantz, Systems Engineer and Dr. Henrik Lönn, Research Engineer at Volvo Technology Corporation in Sweden, presented a case study at IQPC's ISO 26262 conference on the topic: "Support for ISO 26262 in the EAST-ADL / AUTOSAR Context".
The presentation goes into detail on the following:
• Application of model-based support for ISO 26262 on example system
• Methodology for systematic application of ISO 26262 in the model based context
• Traceability of safety information from safety goal down to software and hardware requirements
• EAST-ADL support for supplier and OEM collaboration
Download the full presentation for FREE here: http://bit.ly/Slideshare_Volvo_Presentation
TÜV SÜD on functional safety for multi-core architecturesTorben Haagh
With the importance of successful and efficient implimentation of functional safety continuing to grow on a global scale, ensuring the safey of multi-core architectures poses the next big challenge.
Dr. Andreas Bärwald, Vice President Global Strategy and Operations Automotive, TÜV SÜD Automotive GbmH joined us at last year’s event to give us exclusive case study insight as to how three leading automotive companies achieved this aim.
Read more here:
http://bit.ly/Presentation_TUV-SUD
Unified Systems Engineering feasibilityEric Verhulst
Is unified systems and safety engineering feasible?
This presentation introduces a new approach for developing composable systems with different SIL levels will be presented. It introduces the new notion of ARRL (Assured Reliability and Resilience Level).
"When cars go driverless, connectivity, software and services will take over the driver’s seat ", keynote presented at the Connected Cars Europe event, Brussels (Belgium), May 2017
NFC in the automotive industry was the focus of the VISIONFC Automotive Summit, an NFC Forum event, that took place in Vienna, Austria. At this event stakeholders came together to talk about how NFC enhances the automotive consumer experience and discussed NFC automotive developments, market needs and requirements.
This presentation is focused on Automotive and 5G, the drivers, the current status and the challenges including network slicing and management and orchestration
IoT: A Global Perspective - Radcomms 2016Andres Torres
During my presentation at Radcomms 2016 and subsequent panel, I discussed about the upcoming implementations in cellular standards that will help us enable the Internet of Things (IoT)
MEMS and Sensors in Automotive Applications on the Road to Autonomous Vehicle...MicroVision
MicroVision’s Director of Technical Marketing and Applications Development, Jari Honkanen was invited to speak at MSIG’s 12th annual MEMS & Sensors Executive Congress 2016 on MEMS and sensors as key enabling technologies in the automotive market. Honkanen also discussed the benefits of applying MicroVision’s MEMS scanned virtual image HUD and LIDAR sensor concept for ADAS applications.
MEMS and Sensors for Automotive 2017 Report by Yole Developpement Yole Developpement
How will sensor technology shape the cars of the future? We are only at the very beginning of a bright future for sensor providers – be prepared for the golden age of the automotive sensor industry.
THE REBORN AUTOMOTIVE SENSOR MARKET WILL BE WORTH MORE THAN $20B BY 2022
In a global automotive market worth than US$2.3T, the little world of automotive sensors has recently been shaken up by the emergence of electric and autonomous cars. Despite just 3% growth in the volume of cars sold expected through to 2022, Yole Développement (Yole) expects an average growth rate in sensors sales volumes above 8% over the next five years, and above 14% growth in sales value. This is thanks to the expanding integration of high value sensing modules like RADAR, imaging and LiDAR. The current automotive sensing market groups MEMS and classic active sensors such as pressure, tire pressure monitoring systems (TPMS), chemical, inertial, magnetic, ultrasonic, imaging, RADAR and LiDAR. We estimate that this market is worth US$11B in 2016 and is expected to reach US$23B by 2022. This is mainly due to the boom in imaging, RADAR and LiDAR sensors, which will respectively be worth US$7.7B, US$6.2B and US$1.4B by 2022. Among classical sensors like pressure, chemical and magnetic sensors, the impact of electric vehicles will remain small in the short term. However, the advent of electrical vehicles will greatly change the amount and the distribution of pressure and magnetic sensors within the car in the longer term. More electric cars will mean fewer pressure sensors and a surge in magnetic sensors for battery monitoring and various positioning and detection of moving pieces. Finally, we believe that the automotive world is experiencing one of the fastest-changing eras in its evolution ever. Sensor suppliers are now engaged in a race where they need to be prepared for the golden age of the automotive world.
This report describes the applications, technologies, and players associated with the automotive sensor market’s impending changes.
More information on that report at http://www.i-micronews.com/reports.html
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2017-embedded-vision-summit-bunger
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Mark Bünger, VP of Research at Lux Research, presents the "Automakers at a Crossroads: How Embedded Vision and Autonomy Will Reshape the Industry" tutorial at the May 2017 Embedded Vision Summit.
The auto and telecom industries have been dreaming of connected cars for twenty years, but their results have been mediocre and mixed. Now, just as a potentially costly standards battle looms between DSRC and 5G wireless communications technologies, those technologies may be leapfrogged by embedded vision – enabled by the combination of rapidly advancing image sensors, machine vision algorithms, and embedded AI chips. These technologies are not just changing the car itself; they enable new driving patterns and business models that are fueling new competitors and transforming the industry.
MEMS and Sensors in Automotive Applications on the Road to Autonomous Vehicle...Jari Honkanen
MicroVision's MEMS Laser Beam Scanning Technology applied to HUD and ADAS applications presentation by Jari Honkanen at the MEMS & Sensors Executive Congress 2016, Scottsdale, AZ, November 10-11, 2016
For the full video of this presentation, please visit:
https://www.embedded-vision.com/industry-analysis/video-interviews-demos/path-adas-autonomy-presentation-strategy-analytics
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Roger Lanctot, Director of Automotive Connected Mobility at Strategy Analytics, delivers the presentation "The Path from ADAS to Autonomy" at the Embedded Vision Alliance's December 2017 Vision Industry and Technology Forum. Lanctot shares his unique perspective on what the industry can realistically expect to achieve with ADAS and autonomous vehicles, using computer vision and other technologies.
The Autonomous Revolution of Vehicles & Transportation 6/12/19Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the IEEE Computer Society Phoenix (http://ewh.ieee.org/r6/phoenix/compsociety/) on 6/12/19 at DeVry University in Phoenix, Arizona.
It’s a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
Ben Pierce is an industry expert in the emerging field of autonomous and connected vehicles (AV/CV). Based in Columbus, Ohio, Ben is a national thought leader drawing on more than 25 years of experience with transportation technology. Ben’s vision and understanding of transportation technology made him a key contributor to Columbus, Ohio’s successful Smart City Challenge application.
Radar Technologies For Automotive 2018 report by Yole Développement Yole Developpement
How will radar sensor technology shape the cars of the future? Prepare for the automotive sensor industry’s golden age, in which radar will be increasingly viewed as a key technology for autonomous vehicles.
AUTOMOTIVE IS EXPERIENCING AN EXPLOSION OF NEW HIGH-TECH APPLICATIONS
Automatic emergency braking, adaptive cruise control, and lane-change assist are some examples of these new applications. Spurred by the New Car Assessment Program, OEMs are designing cars with numerous sensors that enable applications like these. And since most of these new applications are safety-related, the sensors must be highly accurate. This means very tight specifications for object detection and classification, as well as being ultra-reliable: operable in every weather condition, in poor lighting, near or far, and with a wide field of view. Radar technology is well-suited to fulfill most of these requirements. We say “most” because object classification is not currently possible with radar, but certain companies are moving quickly to unlock this capability in imaging radar.
Radar has an impressive technology roadmap allowing for huge resolution improvement as well as device miniaturization and cost reduction. Despite small growth (~3%) in global car sales until 2022, Yole Développement expects an average growth rate of 25% for radar module sales, and an average growth rate of 22% for radar chip sales over the next five years - with autonomous driving being the next long-term driver for radar technology growth.
More information on that report at http://www.i-micronews.com/reports.html
Similar to Ronen Shtayer,Director of ASG Operations & PMO, NXP Semiconductor (20)
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
Recruiting in the Digital Age: A Social Media MasterclassLuanWise
In this masterclass, presented at the Global HR Summit on 5th June 2024, Luan Wise explored the essential features of social media platforms that support talent acquisition, including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok.
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Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
buy old yahoo accounts buy yahoo accountsSusan Laney
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An introduction to the cryptocurrency investment platform Binance Savings.
Ronen Shtayer,Director of ASG Operations & PMO, NXP Semiconductor
1. May 9, 2016
1
May 9, 2016
THE ROAD AHEAD FOR
SECURELY CONNECTED CARS
Ronen Shtayer
BU Automotive / BL AAA
NXP Semiconductors
2. May 9, 2016
2
#1 Communications Processors
#1 RF Power Transistors
#1 Automotive Radar
#1 Automotive Safety2
#2 MCUs
#1
SECURE
IDENTIFICATION
#1 AUTOMOTIVE
#1
RF POWER
TRANSISTORS
#1
COMMUNICATIONS
PROCESSORS
#1
SMALL SIGNAL
DISCRETES
#1
BROAD-BASED
MCUs1
#1 Secure Identification
#1 Car Entertainment
#1 In-Vehicle Networking
#1 Secure Car Access
#1 Smart Card MCUs
#1 Small Signal Discretes
Sources: HIS, ABI Research, Strategy Analytics, The Linley Group
(1) MCU market excluding Automotive
(2) Automotive Analog and Sensors in Airbag, Braking, Radar, and TPMS applications
EXPANDED SOLUTIONS AFTER MERGER
3. May 9, 2016
33
NXP - #1 GLOBAL AUTO SEMI
POWERHOUSE
https://youtu.be/H5eLhER9jZ4
4. May 9, 2016
4
NXP ENABLING TRUE APPLICATION
SOLUTIONS
TODAY: 90% OF AUTO INNOVATION VIA ELECTRONICS
#1 Auto Analog/ RF #1 Auto MCU (ex JPN) #1 Auto Merchant MEMS Sensors
#1 INFOTAINMENT
TUNERS
SOFTWARE-DEFINED DIGITAL RADIO
MULTIMEDIA PROCESSORS
SOUND SYSTEM DSPs & AMPLIFIERS
NFC BT PAIRING
WIRELESS POWER CHARGING
POWER MANAGEMENT
#1 SECURE CAR ACCESS
IMMOBILIZER/ SECURITY
REMOTE KEYLESS ENTRY
PASSIVE KEYLESS ENTRY/ GO
BI-DIRECTIONAL KEYS
NFC
ULTRA WIDE BAND
ADAS & SECURITY POWERTRAIN & CHASSIS
MICROCONTOLLERS
PRESSURE/ MOTION SENSORS
BATTERY MANAGEMENT
DRIVERS
STANDARD
PRODUCTS
LOGIC
POWER
DISCRETES
#1 VEHICLE NETWORKING
CAN/LIN/ FLEXRAY
ETHERNET
CENTRAL GATEWAY CONTROLLER
SECURITY
#1 SAFETY
MICROCONTROLLERS AIRBAG
ANALOG AIRBAG
MICROCONTROLLERS BRAKING
ANALOG BRAKING
SENSORS BRAKING
TIRE PRESSURE MONITORING
#1 BODY
MICROCONTROLLERS
POSITION/ ANGLE SENSORS
SYSTEM BASIS CHIPS
5. May 9, 2016
5
AUTOMOTIVE INNOVATION TRENDS
SEAMLESS CONNECTED
MOBILITY EXPERIENCE
ADVANCED DRIVER
ASSISTANCE
SELF-DRIVING
ENERGY EFFICIENCY
Enjoying Life.
One hour per day
in the car
Saving Lives.
1.3M Road Fatalities
Every Year
Reducing CO2.
EU mandates 20%
reduction by 2020
6. May 9, 2016
6
Every year!
~1.3 M fatalities
>50 M people seriously injured
>$3 trillion cost of road accidents
>90% caused by human mistakes
We need to get the
Human Factor
out of the equation!
Critical Reasons Number %
Driver 2,046,000 94%
Vehicles 44,000 2%
Environment 52,000 2%
Unknown 47,000 2%
Total 2,189,000 100%
Driver-Related
Critical Reasons Number %
Recognition Error 845,000 41%
Decision Error 684,000 33%
Performance Error 210,000 11%
Non-performance
Error (e.g. Sleep)
145,000 7%
Other 162,000 8%
Total 2,046,000 100%Data source: NMVCCS
ROAD TRAFFIC ACCIDENTS
THE CAUSES
12. May 9, 2016
12
Surround View
Blind Spot
Detection
ParkAssist
Rear
Collision
Warning
Park Assistance/
Surround View
Surround View
ParkAssist
Cross
Traffic
Alert
Traffic Sign
Recognition
Lane Departure
Warning
Emergency Braking
Pedestrian Detection
Collision Avoidance
Adaptive
Cruise
Control
Significantly reducing the >1.3M global road fatalities
ENABLING THE SECURE CONNECTED
CAR OF TOMORROW
Radar
Vision
Secure V2X
SENSE
Processing
Sensor Fusion
Security
THINK
Powertrain
Chassis
Braking
ACT
Digital Networking
Infrastructure
Security
BIG DATASecure
Network
Secure
Network
13. May 9, 2016
13
CAR RADAR
RFCMOS: SYSTEM SIZE OF A STAMP
• Cocoons of radar sensors for 360° surround view
• Driving radar from premium into volume market
• Making ultra-sonic parking sensors obsolete
• Next gen: integration of frontend with µC
• High performance at low power consumption
• Small footprint
• Ease of application
• Low system cost
RADAR
one-chip
front-end &
microcontroller
TX
SIGNAL
GEN
RX ADC
COCOON
RADAR
14. May 9, 2016
14
IEEE802.11p is derived
from IEEE802.11a/g (today’s
WiFi standard in computing)
INTELLIGENT TRANSPORT SYSTEMS (ITS)
Avoiding road accidents
Improving traffic flow / CO2
Enabling autonomous driving
VEHICLE-TO-EVERYTHING (V2X)
COMMUNICATIONS BASED ON IEEE802.11P STANDARD
15. May 9, 2016
15
Typical V2V
Hazardous location warning
Slow vehicle warning
Stationary vehicle warning
Emergency brake light
Emergency vehicle warning
Motorcycle approaching indication
Typical V2I / I2V
Probe Vehicle (Floating Car) Data
Signal traffic light phase and time
Road works warning
In-vehicle signage
VEHICLE-TO-EVERYTHING
USE CASE EXAMPLES
16. May 9, 2016
16
SYSTEM SECURITY
NXP #1 in Auto HW Security
4-Layer Security Solution
Plus Best-in-Class
Secure Car Access
Recognized Thought &
Innovation Leader
17. May 9, 2016
17
ISO26262 – FUNCTIONAL SAFETY
What is ISO26262?
ISO26262
System Level vs. ICs
Must have for future Automotive ICs
Certification? (ICs vs. Overall Process)