top of page

Porsche

Porsche

Germany

Non-Member

SEND EMAIL
CALL

Shaping the future of the sportscar – this is the theme of Strategy 2025. At the heart of the strategy is our future product portfolio. The sportscar of the future will blend the history and values of the Porsche brand with innovative technologies, while at the same time ensuring sustainability. In achieving this, topics such as electromobility, digitalisation and connectivity will play an important role. Embracing these topics will allow us to shape the exclusive and sporty mobility of tomorrow. Nevertheless, with all the innovations and modifications in front of us, one thing remains constant: Anything that carries the Porsche crest will also feature the excellent quality that is synonymous with Porsche.


The company's main objective is to achieve value-generating growth. Only by achieving such growth can we make sustainable investments in innovative technologies, new products, and most importantly, in our team here at Porsche.


With this approach we are already on our way towards rethinking sporty mobility. We want to excite customers with our products and services. We are also aiming to consolidate our reputation as an excellent employer and business partner that fulfils its social and environmental responsibilities. And the return needs to be sufficient too.


We have everything we need to achieve our objectives: vehicles that will take your breath away and a team that is passionate about its work.

SEE MORE

Representative

SEE MORE

Stay up to date with FISITA Spotlight

More Blogs Item Title

Excerpt from the blog goes here - this will give the reader a brief snapshot of what the post is about...

16 July 2021

READ NOW

See FISITA Library items from Porsche

F2020-ACM-064

Paper + Video

Ing. Jiří Záhora, Czech Technical University, CIIRC, CZECH REPUBLIC
Prof. Zdeňek Hanzálek, Czech Technical University, CIIRC, CZECH REPUBLIC
Dr. Michal Sojka, Czech Technical University, CIIRC, CZECH REPUBLIC

Detail

This paper describes an entire automated vehicle platform for software prototyping and demonstration. The project is build up with the cooperation of the Czech Technical University and Porsche Engineering Services company. The platform is based on a serial production car Porsche Panamera. The aim of this prototype is to close perception - planning - control loop and demonstrate it at a fully automated slalom ride. Besides the sensors already available in the stock Porsche Panamera car, our system is equipped with differential GPS, mono camera, and 16-layers LiDAR. The algorithms run on the NVIDIA TX2 platform, are integrated using Robotic Operating System (ROS) middleware and interface with the car ECUs via CAN and FlexRay buses. A Support Vector Machine with Histogram of Oriented Gradients (HoG) feature vectors from the camera image is used for cones classification. Cone localization is done relative to the car. It uses data from the camera and LiDAR. A Kalman filter derives accurate car odometry. It takes data from the GPS, car builtin accelerometer and actual speed and steers commands. The bicycle kinematic model is used to interconnect all of these pieces of information and for Kalman filter implementation. Clustering and filtering of all detected cones generate the cone map. Optimal trajectory planning respecting the car kinematics is crucial for the smooth slalom ride between the cones. A nonlinear quadratic optimization problem for this purpose is formulated and solved based on the bicycle model. Finally, the trajectory tracking control keeps the car on the planned slalom trajectory during the ride. Substantial work was devoted to experiments with a real vehicle and the fine - tuning of the system parameters. Validation of the system reveals interesting observations related to the precision, frequency and sensitivity of the system components and usability of ROS middleware for the autonomous driving tasks.

FISITA World Congress 2021

ACM - Automated and Connected Mobility

WATCH VIDEO
DOWNLOAD PDF
DOWNLOAD SLIDES

Downloads

Perception, Planning and Control System for Automated slalom with Porsche Panamera, F2020-ACM-064, FISITA World Congress 2021

F2020-ACM-053

Paper + Video

Jaroslav Klapálek, Faculty of Electrical Engineering, CTU in Prague, CZECH REPUBLIC
Michal Sojka, Czech Institute of Informatics, Robotics and Cybernetics, CTU in Prague, CZECH REPUBLIC
Zdeněk Hanzálek, Czech Institute of Informatics, Robotics and Cybernetics, CTU in Prague, CZECH REPUBLIC

Detail

Autonomous cars represent the future of human transportation. We contribute to this course by cooperation with the automotive industry on making a Porsche Panamera car drive autonomously. Unfortunately, performing experiments with real cars is expensive, potentially dangerous, and sometimes not convenient. For this reason, we prototype many of the algorithms for the Panamera on an RC-car (a scaled-down model of autonomous car), which makes many experiments easier to conduct. To validate our work and to compare it with others, we participate in the International F1/10 Autonomous Racing Competition. In this racing event, student teams from all over the world compete in a so-called battle of algorithms. When developing these algorithms or combining a few of them in more complex control approaches, it is not always easy to decide which approach is better. In this paper, we present a comprehensive methodology for comparing the control approaches. We selected the algorithms for the comparison from the list of state-of-the-art approaches as well as approaches used by the teams within the competition. The compared algorithms include: - Iterative Follow The Gap algorithm, - Iterative Follow The Gap algorithm extended with location-based information (Map-based Follow The Gap), and - Static Optimal Trajectory Tracking algorithm. We compare the approaches above directly on the platform used in the competition rather than in simulations. Our evaluation is supported by a high-precision external localization system. We use the comparison criteria, selected based on our years-long experience, and which have proven themselves essential for successful participation in the competition. The criteria are: - racing performance (i.e., how fast is the car able to drive through the track), - obstacle avoidance slowdown (i.e., how much is the performance of the approach penalized by the presence of static obstacles), - hardware load (computing resources on the platform are limited; as the platform is selected by the organizers of the event), and - configuration effort (i.e., how much effort does it take to tune the parameters of the approach). The results of this paper will serve as a baseline for assessing the performance of control approaches developed in the future.

FISITA World Congress 2021

ACM - Automated and Connected Mobility

WATCH VIDEO
DOWNLOAD PDF
DOWNLOAD SLIDES

Downloads

Comparison of Control Approaches for Autonomous Race Car Model, F2020-ACM-053, FISITA World Congress 2021

EB2013-FRM-011

Paper

Leber, Matthias; Carvajal, Sergio; Wallner, Daniel; Thomas, Claus; - Porsche AG

Detail

Under the consideration of the central importance of brake pads with respect to customer satisfaction, state of the art brake pad production and resultant component fluctuations are discussed. The influence of orthotropic elastic material properties on NVH behaviour is examined based on stability calculations carried out on actual series brake systems. A sensitivity analysis shows the necessity of developing methods and processes so that future production can achieve significantly tighter scatter bands. Derived from the presented results, the short and medium term goals of Porsche with respect to pad characterisation as well as production and quality assurance of brake pads are outlined.

EuroBrake 2013

Friction and Raw Materials (FRM)

WATCH VIDEO
DOWNLOAD PDF
DOWNLOAD SLIDES

Downloads

Brake Pads: Hightech Components With An Extreme Impact On All Customer 
Related Evaluation Criteria Of Brake Systems, EB2013-FRM-011, EuroBrake 2013
LOAD MORE

Error message goes here.

SEARCH
bottom of page