KTM 2019 Digital Challenge
salmanfaris last edited by salmanfaris
The KTM Digital Challenge is a unique opportunity for developers and teams to transform the journeys of motorcyclists around the world. The judging panel is looking for applications and services that address the three following scenarios: Hills (ups and downs, needle curves), Highway (higher speeds) and City (stop and go) in unique and disruptive ways, in doing so enhancing the ride for the KTM 1290 SUPER DUKE GT rider. KTM will be providing all participants with data from a new KTM 1290 SUPER DUKE GT in those three scenarios as well as a lightweight, in-browser emulator. The data set includes data from the CAN bus, as well as localisation, acceleration and much more.
The winning team or teams will be invited to the headquarters of KTM in Mattighofen, Austria,to engage with a full team of experts in a 2-day KTM Inno Camp to explore and test their ideas, receive technical feedback, consider integration options (technical, eco-system, commercial), discuss viable business strategies and draft roadmaps, with all travel expenses covered by KTM. Teams will work directly with senior managers in product management, R&D, innovation and other departments such as After-Sales, IT, production and finance. This KTM Inno Camp will take place in October in new KTM Motohall.
KTM 2019 - Digital Challenge
We are very happy to launch the KTM Digital Challenge — an exciting and unique opportunity for developers and third party services to build applications and services for connected KTM motorcycles.
️ What can you expect from the KTM Digital Challenge?
We’re inviting teams to think up innovative and original connected vehicle apps and services for users of KTM motorcycles that solve the unique problems these riders may face. Using our extensive and varied range of APIs, we want you to put yourselves in the driving seat and reimagine the future driving experience of a rider of a KTM 1290 Super Duke GT MY19.
️ What are we looking for?
The panel of judges for the KTM Digital Challenge are open to all sorts of solutions that add value to the user.
️ Deadline and Prizes
The deadline for the challenge is the 21st of July 2019 and winners will be selected by the judges on the 31st July 2019.
The winning team or teams will be invited to the headquarters of KTM in Mattighofen, Austria, to engage with a full team of experts in a 2-day innovation bootcamp to explore and test their ideas, receive technical feedback, consider integration options (technical, eco-system, commercial), discuss viable business strategies and draft roadmaps with all travel expenses covered by KTM.
️ How to take part ️
Have we piqued your interest? Then simply head over to the KTM Digital Challenge webpage to check out the APIs and sign up to play around with the tailormade Super Duke motorcycle emulator. We’re excited to see how your applications and services will transform the rides of motorcycle users!
JOIN NOW: http://challenge.ktm-innovation.com/
Deadline and prizes
21.07.19: Deadline for submission of your project
30.07.19: Winners will be selected by KTM
Join now: http://challenge.ktm-innovation.com/t
@sreu13 I edited comment please read that again. Most probably it will not effect your file system. In some scenarios it can create worse effect.
@arunksoman i'll try this method, but while executing swap command, will the rasbian os and the files it contains be effected??
Ensure that you are installed tensorflow 1.x since screenshot of your code shows something like
from keras.layers.convolution import covolution2D
It is not correct in case for tensorflow 2.0 since keras api is part of tensorflow itself.
Another thing is try to expand your file system. It should be do with your own risk.sudo raspi-config Navigate to Advanced options Select advanced options and hit enter(I believes tab key is useful here) Choose Expand File System and hit enter finish. Then your pi may prompt to reboot. If it didn't run. Execute
sudo reboot Then execute following commands one by one: $ sudo apt-get purge wolfram-engine $ sudo apt-get purge libreoffice* $ sudo apt-get clean $ sudo apt-get autoremove Then increase swap memory by editing following file swapfile:
$ sudo nano /etc/dphys-swapfile It will open nano editor. Navigate to variable CONF_SWAPSIZE=100
It indicates your current swap is only 100mb.#CONF_SWAPSIZE=100 CONF_SWAPSIZE=2048 Save the file and exit nano editor. sudo reboot
So you just have to increase by commenting down this line and increase to appropriate value something like shown below for 2GB swap:
I believes if it did not helped you, you have to think about MOVIDIUS or NVIDIA Jetson nano etc.
@arunksoman tensorflow 2.0.0 version had been installed
I will look more into it. Thanks again