ANDATA at the yearly conference on accident research EVU 2019 in Barcelona
After the ITS World Congress 2019 in Singapore ANDATA moved on to the yearly congress on accident research EVU 2019 in Barcelona this week, presenting Connecting Austria and the ANDATA approach for scenario and simulation-based development and validation of connected, cooperative and automated driving and traffic automation. Accident research will be a crucial issue and play an important role in the safe introduction of cooperative, connected, automated driving.
Thanks to EVU for the invitation and meeting lot's of Austrian, German and Spanisch friends and partners!
ITS World Congress 2019 in Singapur
The ITS World Congress 2019 takes place in Singapur between October 21st and 25th.
Beside the presentation of "Early lessons learnt from Connecting Austria - C-ITS-focused level 1 truck platooning" in session TS24, ANDATA will contribute to #ITSWC19 with the topics #CCAD, #ODD, #TRAFFICAUTOMATION, #Validation, #AutomatedDriving.
ANDATA's Presentation from Mathworks Automated Driving Conference 2019 now online
ANDATA's presentation at the Mathworks Automotive Conferene 2019 is now available online under "Scenario-Based Validation of Automated Driving Functions with MATLAB".
The following main topics are covered by the presentation: #automateddriving, #scenariomanagement, #connectingaustria, #operationaldesigndomain, #validation, #developmentprocedures, #ccam, #trafficautomation, #system-of-systems
Bridging Vehicles and Infrastructure with Car2X-Communication at ATTC Information Event
At April, 24th an exclusive information event of the ATTC (Austrian Traffic Telematics Cluster) about the introduction of Car2X-communication technologies in 2019 took place at the ÖAMTC center for driving techniques. The event was organized by ANDATA in close cooperation with Volkswagen, ASFINAG, Swarco Futurit, Automotive Safety Technologies, ÖAMTC and the project Connecting Austria.
It had been shown how the series solution for the upcoming product launches of Car2X-communication in 2019 will look like. The functions had been demonstrated live upon the examples of warnings for construction site trailers, breakdown cars, and emergency service vehicles. In addition the functions were shown in virtual reality and vehicles for the development of such connected, cooperative functions from ANDATA and ASTech accompanied the presentations and discussions with the attendant experts.
After the reduction of crash consequences (by structural vehicle measures, airbags, etc.) and the collision avoidance and mitigation (by autonomous emergency braking and collision warning, etc.) now the next level in automotive safety on the way to Vision Zero is launched. Namely Car2X-communication will be used for the active avoidance of dangerous situations.
The implementation of Car2X-communication delivers an essential technology component for future's cooperative, connected, (semi-)automated driving, which is promoted amongst others in the Austrian lead project Connecting Austria. This aims to put into effect common improvements in traffic and vehicle efficiency as well as in safety.
The contribution of ANDATA in the field is the integral development and safeguarding of the various functions and disciplines by the according control algorithms for (semi-)automated driving, reaching from sensor fusion and classification, localization, situation interpretation over manoeuvre planning to the predictive control of certain actions.
ANDATA presents "Scenario-based Validation of Automated Driving Functions" at Mathworks Automotive Conference 2019
The Mathworks Automotive Conference 2019 took place in Stuttgart at April 11th.
ANDATA has held a presentation there about "Scenario-based Validation of Automated Driving Functions with MATLAB". One of the key issues was the certain, mathematical description of the "Operational Design Domain" for automated driving functions in different hierarchy levels and functional modules. By means of an example from the Austrian lead procject in automated driving "Connecting Austria" it has been shown, how Machine Learning can be used to find out a relevant and representative set of scenarios for the development of complex driving and traffic control functions.
Further details can be requested from firstname.lastname@example.org.