Dirk Wisselmann of BMW Group presented BMW's roadmap for automated driving. BMW is developing technologies like traffic jam assistants and remote controlled parking that increase automation and integration of functions. By 2020, BMW aims to offer highly automated driving functions through continued scaling of technologies and field tests in cooperation with partners like Continental. However, standardized testing and legal frameworks are still needed for widespread deployment of highly automated vehicles.
Car HMi Europe 2016 - Post Event ReportRamona Kohrs
Car HMi Europe is a well-established international knowledge exchange platform bringing together all stakeholders playing an active role in HMI & the User Experience scene. In over 2 days you will get the chance to discuss the opportunities as well as challenges in Car HMI that lie ahead of the industry. The event offers inspirational keynotes and well moderated, interactive world café sessions, workshops, briefings, panel discussions and networking activities.
Uber is an on-demand transportation service which has brought a revolution in the taxi industry across the world. Their business model emerged as a disruptive approach to the traditional business model, as it made it possible for people to simply tap their smartphones and have a car arrive at their location in the minimum possible time. It is a service that fits all ages and social groups. Their model is called sharing economy business model, it has recently emerged to create not only financial value but economic value as well.
Also, the sharing economy industry is growing faster than Facebook, Google, and Yahoo combined; therefore, they managed to obtain significant financing from venture capitalists easily.
Our goal at PSA Peugeot Citroën is to help drivers let go of the wheel. We are currently designing clear,
intuitive and user-friendly interfaces that allow drivers to interact effortlessly with their vehicles and take back
control whenever they wish.
Autonomous vehicles will be connected to road infrastructure and to each other to optimise travel times,
reduce fuel consumption and proactively manage potentially hazardous road incidents.
PSA Peugeot Citroën pioneered emergency call and assistance systems in 2003. Now we are doing the
same with connected services. The Peugeot Connect Apps and Citroën Multicity Connect service platforms,
for example, have been reinventing the driving experience since 2012, offering assistance, communication
and information.
These apps are paving the way for the next generation of connected services, this time aimed at optimising
customer mobility and offering a seamless user experience with more comfort, more services and more
safety.
Greater vehicle connectivity means greater vehicle autonomy, and that ultimately means greater mobility for
our customers.
Car HMi Europe 2016 - Post Event ReportRamona Kohrs
Car HMi Europe is a well-established international knowledge exchange platform bringing together all stakeholders playing an active role in HMI & the User Experience scene. In over 2 days you will get the chance to discuss the opportunities as well as challenges in Car HMI that lie ahead of the industry. The event offers inspirational keynotes and well moderated, interactive world café sessions, workshops, briefings, panel discussions and networking activities.
Uber is an on-demand transportation service which has brought a revolution in the taxi industry across the world. Their business model emerged as a disruptive approach to the traditional business model, as it made it possible for people to simply tap their smartphones and have a car arrive at their location in the minimum possible time. It is a service that fits all ages and social groups. Their model is called sharing economy business model, it has recently emerged to create not only financial value but economic value as well.
Also, the sharing economy industry is growing faster than Facebook, Google, and Yahoo combined; therefore, they managed to obtain significant financing from venture capitalists easily.
Our goal at PSA Peugeot Citroën is to help drivers let go of the wheel. We are currently designing clear,
intuitive and user-friendly interfaces that allow drivers to interact effortlessly with their vehicles and take back
control whenever they wish.
Autonomous vehicles will be connected to road infrastructure and to each other to optimise travel times,
reduce fuel consumption and proactively manage potentially hazardous road incidents.
PSA Peugeot Citroën pioneered emergency call and assistance systems in 2003. Now we are doing the
same with connected services. The Peugeot Connect Apps and Citroën Multicity Connect service platforms,
for example, have been reinventing the driving experience since 2012, offering assistance, communication
and information.
These apps are paving the way for the next generation of connected services, this time aimed at optimising
customer mobility and offering a seamless user experience with more comfort, more services and more
safety.
Greater vehicle connectivity means greater vehicle autonomy, and that ultimately means greater mobility for
our customers.
Uber might provoke controversy, but there is no doubting the fact that it has been one of the most disruptive companies in the last decade. In this useful deck, our Mobile Product Strategist, Hamish Vallabh, outlines eight key things about great product design that you can learn from straight from one of the best 'habit-forming' services.
This is KarFarm's link to our YouTube video channel with clips of introductory videos, customer testimonials, dealer testimonials, and a short overview of how it all works to get the consumer the best deal for the best car.
Infinite Taxi App is the ideal taxi app for the individual on the go with the cutting edge initiative that can accomplish the improvement of your transportation business in additional extents. We support to your business to gain the global presence, by providing multiple add-on features along with inbuilt service.
Smart Parking Solutions for Cities & Universities: 2016Mark Braibanti
Clueless drivers waste time, gas, & money when they are searching for parking. On crowded city streets, a full parking garage can create traffic and gridlock. ParkMe’s Real-Time Parking Occupancy feature will inform drivers with up-to-the-minute occupancy info and can curb traffic before it starts.
All of our smart parking technology can be integrated into a fully customized app for cities and universities to help residents and visitors park with ease.
Contact sales@parkme.com for more info.
Start your Uber Clone Business Immediately. USA, UK, India. Say Bye to Expensive Taxi App Development Company, Introducing low cost Uber Clone App. Launch your Uber Clone App in Just 48 hours with all Uber Features and Functionalities, be No: 1 to build a Delightful Uber Clone App. Contact us now to become next uber
ParkMe has a wide range of smart parking solutions for cities including: custom parking apps, real-time occupancy information, mobile payment integration, etc.
ParkMe works with cities all over the world to help drivers find & pay for the best parking. Cities we've worked with include Los Angeles, Hollywood, Orlando, Dallas, Austin, Miami Beach, & many more. For more info check out www.parkme.com/municipalities or contact us at sales@parkme.com
Multiple Passenger Ride Sharing Changes Economics of CommutingJeffrey Funk
While Uber has challenged taxi drivers, multiple passenger ride sharing service can give us the both of best worlds: short travel times and low prices. They can provide the low prices of public transport with the short travel times of private cars or single passenger taxis. Different than Uber Pool or other crowd sourcing services, the key is for the startup to guarantee both short travel times and low prices, even if demand does not initially exist. This can be be done by having better data on the starting and ending points of travelers, which enables us to identify high demand routes and times and thus enable services that have few stops. The fewer stops enable short transit times and the multiple passengers in cars, vans, or mini-buses can reduce costs.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for PlugSurfing. PlugSurfing is creating a global network of EV charging stations that can be used with a single account thus eliminating the need for multiple passwords, credit cards, and other identifiers. It had created a network of 25,000 charging points by January 2016, mostly in Germany and the Netherlands. It already has a density of 17 charging points per square kilometer in central cities and 4 per square kilometer in suburbs. It has also begun expanding into France, Italy, and Belgium. The slides summarize the business model for PlugSurfing including the value proposition, customers, method of value capture, scope of activities, and method of strategic control.
Analysts predict that the Hadoop market will reach $50.2 billion USD by 2020.1 Applications driving these large expenditures are some of the most important workloads for businesses today including:
• Analyzing clickstream data, including site-side clicks and web media tags. • Measuring sentiment by scanning product feedback, blog feeds, social media comments, and Twitter streams. • Analysis of behavior and risk by capturing vehicle telematics. • Optimizing product performance and utilization by gathering data from built-in sensors. • Tracking and analyzing people and material movement with location-aware systems. • Identifying system performance and intrusion attempts by analyzing server and network log. • Enabling automatic document and speech categorization. • Extracting learning from digitized images, voice, video, and other media types.
Predictive analytics on large data sets provides organizations with a key opportunity to improve a broad variety of business outcomes, and many have embraced Apache Hadoop as the platform of choice.
In the last few years, large businesses have adopted Apache Hadoop as a next-generation data platform, one capable of managing large data assets in a way that is flexible, scalable, and relatively low cost. However, to realize predictive benefits of big data, organizations must be able to develop or hire individuals with the requisite statistics skills, then provide them with a platform for analyzing massive data assets collected in Hadoop “data lakes.”
As users adopted Hadoop, many discovered performance and complexity limited Hadoop’s use for broad predictive analytics use. In response, the Hadoop community has focused on the Apache Spark platform to provide Hadoop with significant performance improvements. With Spark atop Hadoop, users can leverage Hadoop’s big-data management capabilities while achieving new performance levels by running analytics in Apache Spark.
What remains is a challenge—conquering the complexity of Hadoop when developing predictive analytics applications.
In this white paper, we’ll describe how Microsoft R Server helps data scientists, actuaries, risk analysts, quantitative analysts, product planners, and other R users to capture the benefits of Apache Spark on Hadoop by providing a straightforward platform that eliminates much of the complexity of using Spark and Hadoop to conduct analyses on large data assets.
Uber might provoke controversy, but there is no doubting the fact that it has been one of the most disruptive companies in the last decade. In this useful deck, our Mobile Product Strategist, Hamish Vallabh, outlines eight key things about great product design that you can learn from straight from one of the best 'habit-forming' services.
This is KarFarm's link to our YouTube video channel with clips of introductory videos, customer testimonials, dealer testimonials, and a short overview of how it all works to get the consumer the best deal for the best car.
Infinite Taxi App is the ideal taxi app for the individual on the go with the cutting edge initiative that can accomplish the improvement of your transportation business in additional extents. We support to your business to gain the global presence, by providing multiple add-on features along with inbuilt service.
Smart Parking Solutions for Cities & Universities: 2016Mark Braibanti
Clueless drivers waste time, gas, & money when they are searching for parking. On crowded city streets, a full parking garage can create traffic and gridlock. ParkMe’s Real-Time Parking Occupancy feature will inform drivers with up-to-the-minute occupancy info and can curb traffic before it starts.
All of our smart parking technology can be integrated into a fully customized app for cities and universities to help residents and visitors park with ease.
Contact sales@parkme.com for more info.
Start your Uber Clone Business Immediately. USA, UK, India. Say Bye to Expensive Taxi App Development Company, Introducing low cost Uber Clone App. Launch your Uber Clone App in Just 48 hours with all Uber Features and Functionalities, be No: 1 to build a Delightful Uber Clone App. Contact us now to become next uber
ParkMe has a wide range of smart parking solutions for cities including: custom parking apps, real-time occupancy information, mobile payment integration, etc.
ParkMe works with cities all over the world to help drivers find & pay for the best parking. Cities we've worked with include Los Angeles, Hollywood, Orlando, Dallas, Austin, Miami Beach, & many more. For more info check out www.parkme.com/municipalities or contact us at sales@parkme.com
Multiple Passenger Ride Sharing Changes Economics of CommutingJeffrey Funk
While Uber has challenged taxi drivers, multiple passenger ride sharing service can give us the both of best worlds: short travel times and low prices. They can provide the low prices of public transport with the short travel times of private cars or single passenger taxis. Different than Uber Pool or other crowd sourcing services, the key is for the startup to guarantee both short travel times and low prices, even if demand does not initially exist. This can be be done by having better data on the starting and ending points of travelers, which enables us to identify high demand routes and times and thus enable services that have few stops. The fewer stops enable short transit times and the multiple passengers in cars, vans, or mini-buses can reduce costs.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for PlugSurfing. PlugSurfing is creating a global network of EV charging stations that can be used with a single account thus eliminating the need for multiple passwords, credit cards, and other identifiers. It had created a network of 25,000 charging points by January 2016, mostly in Germany and the Netherlands. It already has a density of 17 charging points per square kilometer in central cities and 4 per square kilometer in suburbs. It has also begun expanding into France, Italy, and Belgium. The slides summarize the business model for PlugSurfing including the value proposition, customers, method of value capture, scope of activities, and method of strategic control.
Analysts predict that the Hadoop market will reach $50.2 billion USD by 2020.1 Applications driving these large expenditures are some of the most important workloads for businesses today including:
• Analyzing clickstream data, including site-side clicks and web media tags. • Measuring sentiment by scanning product feedback, blog feeds, social media comments, and Twitter streams. • Analysis of behavior and risk by capturing vehicle telematics. • Optimizing product performance and utilization by gathering data from built-in sensors. • Tracking and analyzing people and material movement with location-aware systems. • Identifying system performance and intrusion attempts by analyzing server and network log. • Enabling automatic document and speech categorization. • Extracting learning from digitized images, voice, video, and other media types.
Predictive analytics on large data sets provides organizations with a key opportunity to improve a broad variety of business outcomes, and many have embraced Apache Hadoop as the platform of choice.
In the last few years, large businesses have adopted Apache Hadoop as a next-generation data platform, one capable of managing large data assets in a way that is flexible, scalable, and relatively low cost. However, to realize predictive benefits of big data, organizations must be able to develop or hire individuals with the requisite statistics skills, then provide them with a platform for analyzing massive data assets collected in Hadoop “data lakes.”
As users adopted Hadoop, many discovered performance and complexity limited Hadoop’s use for broad predictive analytics use. In response, the Hadoop community has focused on the Apache Spark platform to provide Hadoop with significant performance improvements. With Spark atop Hadoop, users can leverage Hadoop’s big-data management capabilities while achieving new performance levels by running analytics in Apache Spark.
What remains is a challenge—conquering the complexity of Hadoop when developing predictive analytics applications.
In this white paper, we’ll describe how Microsoft R Server helps data scientists, actuaries, risk analysts, quantitative analysts, product planners, and other R users to capture the benefits of Apache Spark on Hadoop by providing a straightforward platform that eliminates much of the complexity of using Spark and Hadoop to conduct analyses on large data assets.
Roadmap to autonomous driving, AV levels, its impact
on powertrains of the future
- Autonomus driving vehicle
- Powertrain requirements for autonomous vehicles
- Scaleable functionality for ACE (Autonomous, Connected and Electric)
1° Sessione Oracle CRUI: Analytics Data Lab, the power of Big Data Investiga...Jürgen Ambrosi
I dati sono il nuovo Capitale: come il capitale finanziario, sono una risorsa che deve essere gestita, raccolta e tenuta al sicuro, ma deve essere anche investita dalle organizzazioni che vogliono ottenere vantaggio competitivo. I dati non sono una risorsa nuova, ma soltanto oggi per la prima volta sono disponbili in abbondanza assieme alle tecnologie necessarie per massimizzarne il ritorno. Esattamente come l'elettricità fu una curiosità da laboratorio per molto tempo, finché non venne resa disponibile alle masse e dunque cambiò totalmente il volto dell'industria moderna.Ecco perché per accelerare il cambiamento è necessario un approccio innovativo alla esecuzione delle iniziative orientate ai Big Data: un laboratorio analitico come catalizzatore dell'innovazione (Data Lab).In questo webinar sulle tecnologie Oracle, utilizzeremo il consueto approccio del racconto basato su casi d’uso ed esperienze concrete.
2° Ciclo Microsoft CRUI 3° Sessione: l'evoluzione delle piattaforme tecnologi...Jürgen Ambrosi
L’obiettivo è quello di fare una panoramica dello stato dell’arte sulle tecnologie a supporto dei database. Alcuni esempi sono la tecnologia in-memory integrata con le funzionalità di analisi operative in tempo reale e della tecnologia Always Encrypted per la protezione dei dati utilizzati in locale o durante gli spostamenti. La tecnologia in-memory consente di migliorare di 30 volte le performance delle transazioni utilizzando hardware standard di settore. Inoltre i Big Data e l'analisi sono diventati un importante fattore di differenziazione competitivo, ma la gestione delle enormi quantità di dati correlate a un tempo di attività 24 ore su 24 continua a essere una sfida per l'IT. Oggi è più importante che mai soddisfare a livello aziendale l'esigenza di prestazioni, disponibilità e sicurezza efficace per gestire carichi di lavoro mission-critical a un costo contenuto. Le soluzioni Microsoft fissano un nuovo standard nelle performance mission-critical.
With the computer revolution digital data has become available. With the Internet and smart connected product, the data is growing exponentially. With all this data, it becomes a platform for something new of its own. In this lecture, we look at what big data is and look at several examples of how to use data.
Interview with Michael Heimrath, BMW Research and TechnologyMaria Willamowius
Prior to the Autonomous Driving 2014 – The Future of ADAS, we.CONECT spoke with Michael Heimrath, Manager Projects Connected Drive at BMW Research and Technology.
Global Test & Defect Management for the Future of Mobility - Gunther Fabian (...Intland Software GmbH
Gunther Fabian (Daimler)'s talk at Intland Connect: Annual User Conference 2019. More info: https://intland.com/intland-connect-annual-user-conference-2019/
Park assist systems and telematics brief introductionRajni Ranjan
The report briefly describes the presently available Drive Assist System (DAS) and what we can have in near future. It also briefly introduces Telematics in Automotive - Rajni Ranjan
Business proposal of an adaptable & simple connected vehicle platform. Pitkraft can be adopted with current production vehicles. In future, Pitkraft can be a platform for connected vehicle & service aggregation.
With more cars on the road, property developers need to provide ample parking to accommodate them in already limited building footprints, particularly in congested cities.
To put it briefly, commercial automated car parking systems offer superior technology, better parking experience, increased protection, reduced traffic & pollution, easy implementation & management, and cost-effectiveness.
Space Optimisation
Automated commercial parking systems offer the benefit of perfect space control because they involve automated access. Increased parking capacity is an obvious benefit of a commercial automated parking system. By installing a commercial, automated stack parking system the number of vehicles that can be accommodated in limited space increases manifold because the cars are parked vertically and not just horizontally.
Intelligent Driving - a 2020 View by Paul Asel at Automotive Megatrends March...Nokia Growth Partners
Nokia Growth Partner's Paul Asel's presentation at the Automotive Megatrends event in Detroit on March 17, 2015 discussing a 2020 view of Intelligent Driving.
BMW officially reveals 7 Series technology advancementsRushLane
BMW is using a technology and innovation workshop to present an initial selection of development highlights which the next generation of the BMW 7 Series model range will use to set new benchmarks in lightweight design, driving dynamics, comfort, intelligent connectivity and operation. The extensive use of carbon-fibre-reinforced plastic (CFRP) in the structure of the passenger cell, the rigorous and detailed application of lightweight design and a new generation of engines combine to reduce the weight of the luxury sedan along with its fuel consumption and emissions figures.
2012 BMW 7 Series Sedan For Sale NY - BMW Dealer Near BuffaloBMWofRochester
2012 BMW 7 Series Sedan brochure provided by BMW of Rochester. Find the 2012 BMW 7 Series Sedan for sale in New York. Call us about our current sales and incentives at (877) 875-8629. http://www.westherr.com
Digital Driving Pass - community-driven telematicsMateusz Maj
Slideshow introduces Digital Driving Pass (DDP) - an independent telematics platform analyzing driving behavior and linking this data with drivers and businesses in a privacy-friendly way. DDP promotes driver-centric approach where drivers controls DDP driving profiles and can use them in different driving contexts (across the whole driving journey) including driving education, license renewal, personalized car insurance or car sharing.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Best best suvichar in gujarati english meaning of this sentence as Silk road ...
Data Days 2014 - Dirk Wisselmann
1. BMW ACTIVE ASSIST.
THE ROADMAP TO AUTOMATED DRIVING.
Dirk Wisselmann, BMW Group.
Berlin, 02. October 2014
Titelbild?
2. BMW ACTIVE ASSIST – THE ROADMAP TO AUTOMATED DRIVING.
1
Motivation.
2
Automation and Customer Acceptance.
3
Roadmap.
4
Challenges.
5
Future Steps.
Page 2
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
3. BMW GROUP’S STRATEGIC DIRECTION. “STRATEGY NUMBER ONE”.
… to become the leading provider of premium products and services for individual mobility.
4. BMW i. VISIONARY ELECTRIC CARS AND MOBILITY SERVICES.
„The future belongs to those who dare to venture. We cannot ignore the need for new approaches – especially when circumstances are changing “
Norbert Reithofer, April 2013
BMW i
New Vehicle Concepts
New Service Models
=
+
5. Page 5
AUTOMATED DRIVING WILL INCREASE SAFETY, COMFORT AND EFFICIENCY BOTH FOR THE DRIVER AND THE TRAFFIC SYSTEM.
Always safe (also without automation by an optimized perception).
IMPROVED TRAFFIC AND DRIVING SAFETY.
XXX.
Gaining valuable time by delegation.
IMPROVED DRIVING EFFICIENCY.
Time and fuel savings through optimized driving strategy.
INCREASED DRIVING COMFORT.
IMPROVED DRIVING EFFICIENCY.
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
6. AUTOMATED DRIVING IS THE BASIS TO INTEGRATE SINGLE FUNCTIONS TO AN OVERALL EXPERIENCE.
dedicated functions for dedicated situations
Intuitive
experience
Efficient driving
Safe dynamic driving
Intuitive parking
0
FLA
Function x
AEBs
Function y
RECW
Security
Drive
Light
&
View
Security
Park
ED- Pilot
STAU
FLA
Topview 3D
Find a parking space
RCP
PMA LQ
Function z
AEBs
iBrake
Function x
NiVi
Function y
RECW
RFK
ACC
ALC
VZA
Sideview
PDC
SLI
CTA
Rain- sensor
NiVi
Rain- sensor
iBrake
Function z
Light
&
View
Integration of single functions + Increasing degree of automation + Backend for advanced foresight = Customer oriented use cases
Overall parking
experience
Overall driving experience
Comfortable
travelling
Page 6
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
7. Page 7
THE VISION.
MY CAR UNDERSTANDS ME AND ACTS INTUITIVELY AS I WANT.
Fahrerassistenz einmal anders – Mein BMW versteht mich, Peter Langen, BMW Group, 03.06.2014
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
8. BMW ACTIVE ASSIST – THE ROADMAP TO AUTOMATED DRIVING.
1
Motivation.
2
Automation and Customer Acceptance.
3
Roadmap.
4
Challenges.
5
Future Steps.
Page 8
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
9. Page 9
FIRST STUDIES SHOW THAT HIGHLY AUTOMATED DRIVING WILL BE ACCEPTED BY THE CUSTOMER BUT WE HAVE TO CONVINCE THE SOCIETY, TOO.
“The industry is developing autonomous vehicles. Could you imagine driving such a car if you were able to intervene in the case of an emergency?”
>> For two thirds of the drivers an autonomous car would be an option.
I am not sure.
Absolutely not.
No, that’s unlikely.
Yes, perhaps.
4
Yes.
25
41
18
12
(Source: Ernst & Young GmbH, Study „Autonomous Driving“, 2013, provided by research partner Continental AG)
Results of a survey of 1,000 customers with a German driver’s license:
Liability
Solution for increasing traffic volume
Car sharing
More efficiency - less emissions
Data error
Safe traffic in spite of „always on“
Mobility for all
Technology has better reaction time
Less wasted space for parking
Loss of driving competence
Rise of productivity via efficient traffic
Compliant to traffic rules
Swarm accidents
Unemployment
Innovative strength of the economy
(Source: BMW Group Research and Technology, Online-Media Analysis „Social perception of highly automated driving“)
The society's hopes and concerns:
The role of humans in the world of robotics
Cooperative behavior
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
10. BMW ACTIVE ASSIST – THE ROADMAP TO AUTOMATED DRIVING.
1
Motivation.
2
Automation and Customer Acceptance.
3
Roadmap.
4
Challenges.
5
Future Steps.
Page 10
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
11. FIRST FUNCTIONS OF PARTIAL AUTOMATION ARE AVAILABLE.
SPECIFIC SEGMENT SOLUTIONS ARE FEASIBLE BY SCALING.
Low
High
Scaling
Mono camera
Up to140 km/h
First ACC system in UKL1
Active Cruise Control
Traffic Jam Assistant
Night Vision mit
Dynamic Light Spot
High-beam assistant
Traffic Jam Assistant up to 60 km/h
Mono camera
Radar and Mono camera
Up to 210 km/h
Emergency Braking
Traffic Jam Assistant up to 60 km/h
Data fusion of radar sensor and mono camera
FIR camera
Recognition of pedestrians and animals
Lightspot on critical objects
Enlighting the whole road without dazzling other vehicles
Delegation
Protection
Page 11
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
12. Page 12
INCREASING CUSTOMER EXPERIENCE BY INCREASING AUTOMATION AND FUNCTIONAL INTEGRATION - DRIVING.
Continuous lateral and longitudinal guiding from 0 km/h to 210 km/ h
High availability even without lane markings
Separated activated longitudinal and lateral control assistance
Enabler for future higher automation
Tracking and steering assistant, traffic jam assistant
Lane assist with active side collision protection
Safety function to prevent side collisions
Combination of three customer functions
Integrated HMI for warnings: flash light in the exterior mirror and vibration of the steering wheel
Enabler: Stereo camera
ASIL-B-capable environment assessment
Connection via Ethernet
Lane detection
Object recognition (Vehicles and Pedestrians)
Detection of Free space
Sign recognition
Road surface detection
Protection
Delegation
Sensors and environment model
Side collision-
Lane departure-
Lane Change Warning
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
13. Page 13
When reversing with v <5km/h: Braking to a standstill
Active PDC
Remote Controlled Parking
Top View 3D
Views selectable by the customers or Automatic setting of relevant views
Specific views in critical zones
Parking in garages and parking spaces via remote control
INCREASING CUSTOMER EXPERIENCE BY INCREASING AUTOMATION AND FUNCTIONAL INTEGRATION - PARKING.
.
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
14. BMW ACTIVE ASSIST – THE ROADMAP TO AUTOMATED DRIVING.
1
Motivation.
2
Automation and Customer Acceptance.
3
Roadmap.
4
Challenges.
5
Future Steps.
Page 14
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
15. Page 15
MASTERING THE BASIC TECHNOLOGIES IS THE FIRST STEP FOR HIGHLY AUTOMATED DRIVING.
BACKEND
Environmental model
Trajectories planning
Fusion and extraction
Driving strategy
HIGHLY AUTOMATED DRIVING FUNCTION
ENVIRONMENTAL MODEL
SENSORS
VEHICLE CONTROL
Trajectories Planing
Driving
Strategy
Represen-
tations
Localization
E/E ARCHITECTURE
AND ECU
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
16. THE BACKEND IS AN ESSENTIAL PART OF OUR ARCHITECTURE.
En-route
clearances
Variable traffic signs
Traffic conditions
Road
works
High-precision digital maps
Weather
conditions
Roads passed by 1 - 3 vehicles within 10 days
Coverage of selected countries of 100,000 selected BMW ConnectedDrive vehicles:
Page 16
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
17. BMW ACTIVE ASSIST – THE ROADMAP TO AUTOMATED DRIVING.
1
Motivation.
2
Automation and Customer Acceptance.
3
Roadmap.
4
Challenges.
5
Future Steps.
Page 17
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
18. Page 18
STARTING FROM 2020 FIRST HIGHLY AUTOMATED DRIVING FUNCTIONS COULD BE OFFERED TO OUR CUSTOMERS.
ON
Limited field test of highly automated driving functions in Germany and Europe (BMW Group & Continental).
Quantified benefits through large scale field operational test of highly automated driving functions (OEMs/suppliers).
Global rollout of highly automated driving functions.
Development of an electronic co-pilot system with the international automotive supplier Continental.
2013
2014
2015
2016
2017
2018
2019
…
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
19. Page 19
HIGHLY AUTOMATED DRIVING NEEDS AN AGREED STANDARD AND A JOINT COLLABORATION OF ALL KEY PLAYERS
Large scale field operational test of all innovative key players
Establishing market potential and standards
Proving effectiveness of active safety
Proof of societal and economic overall benefits
Create technical basis for changed legal framework
Assessing potentials and defining new insurance models
Clarified joint positions
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
20. Page 20
FILM DRIFT VEGAS.
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.
21. Page 21
THANK YOU VERY MUCH FOR YOUR ATTENTION!
BMW Active Assist – The Roadmap to Automated Driving. Dirk Wisselmann, BMW Group, 02.10.2014.