The Experimental Smart Highway Section of the M1-M7 is Now Gaining Intelligence: The System Has Entered an Intensive Learning Phase

The sensor network construction on the experimental section of the M1-M7 highway has been completed. The system’s configuration and calibration are underway, laying the foundation for real-time data processing and the implementation of services that enhance traffic safety.

The smart highway project on the shared M1-M7 entry section has reached a new milestone. The completion of the sensor network by the end of November has enabled the start of the configuration and calibration phase. Fine-tuning of the sensors—such as LiDARs, cameras, and RADARs—and the synchronization of hardware and software are ongoing to ensure the precise and real-time processing of data.

Time synchronization among the sensors, during which their internal clocks are aligned to a reference clock, is being conducted with 100-nanosecond precision. The triggering process ensures that cameras capture images precisely when LiDAR sensors signal them, creating accurate and coherent datasets. Additionally, the spatial calibration of sensors is taking place to allow data to be interpreted within a unified reference coordinate system.

“The construction of the sensor network was an incredible engineering achievement, but it’s only the beginning—we are now working to integrate the sensors and processing algorithms into a perfectly coordinated system,” said Dr. András Rövid, the BME project lead. “This is an incredibly exciting phase, as the value derived from the data is already impressive, and the next steps will allow us to fully harness the system’s potential.”

Building the Digital Twin

The next major milestone involves processing and labeling point clouds and training AI-based detectors. This will enable the system to identify and categorize traffic scenarios, including the precise position, orientation, and size of vehicles. The digital twin model is expected to be ready by the end of February, followed by drone-based validation conducted by Bosch.

Enhancing Safety

The project aims to create a real-time system that not only increases traffic safety but also identifies the causes of congestion. Uniquely, it will be capable of detecting dangerous driving behaviors, such as passing on the right, sudden braking, or tailgating.

A Mobile Application to Support Drivers

In the project’s next phase, expected in April-May 2025, a mobile application in the pilot phase will be launched. The app will assist drivers with real-time, personalized information, providing updates on traffic events, potential hazards, and optimal routes.

Supporting Automotive Development

The smart highway project is not only aimed at improving traffic safety and efficiency but also provides a valuable foundation for research and development in the automotive industry. The sensor systems integrated into the infrastructure and real-time data analysis create opportunities for testing and fine-tuning new vehicle technologies, such as autonomous driving systems. The project serves as a unique platform for domestic and international automotive stakeholders, facilitating faster market entry for future transportation solutions.

International Comparison

This development stands out on a global scale, as a similar system exists only in China, covering a longer section. However, Hungary is unique in the region in its efforts to support data-driven traffic safety and efficiency through real-time processing.

“With this joint project, one of Europe’s and the world’s ‘smartest’ road sections has been created, enhancing Hungary’s reputation in the automotive industry. We provide opportunities for testing new technologies and automotive developments in real environments. This opens new horizons in traffic management and safety by alerting drivers to dangers beyond the limits of perception. We eagerly anticipate applying the pilot project’s results to everyday road operations and traveler information services,” said Máté Verdes, Head of the Intelligent Transportation Systems Department at Magyar Közút Nonprofit Zrt.

Setting a European Benchmark

The developments on the M1-M7 section not only enhance traffic safety and efficiency in Hungary but also set an example for advancing digital infrastructure at the European level. The smart highway technology places Hungary’s transportation system at the forefront, establishing a vital foundation for future mobility solutions.

The scientific development is being carried out by the BME Automated Drive research team in collaboration with Magyar Közút Nonprofit Zrt. under the Eureka Central System (2020-1.2.3-EUREKA-2021-00001) project.

Vehicle Safety and Security Research Group Showcases Innovative Test Framework at Cognitive Mobility 2024 Conference

The Vehicle Safety and Security Research Group from the Department of Automotive Technologies at the Budapest University of Technology and Economics recently participated in the Cognitive Mobility 2024 Conference, held at the Bosch Budapest Innovation Campus. The team presented their newly developed test framework, which highlights a breakthrough approach to safe driving operations.

During the presentation, the research group demonstrated how, in situations where conventional environmental sensors fail to provide the necessary information for safe driving, radio communication technologies can offer a reliable alternative. They showcased a scenario where even with degraded radio communication quality, their innovative control concept enabled the system to maintain safe driving operations by adapting to the communication parameters.

This test framework represents a significant advancement in vehicle safety technology, illustrating the potential of radio communication as a complementary solution to traditional sensors. The group’s work not only addresses current challenges in autonomous driving but also opens new possibilities for the development of more resilient and adaptable vehicle safety systems.

The Department of Automotive Technologies is proud of the team’s achievements and their ongoing contribution to the advancement of intelligent mobility solutions.

Safety First! Competition 2024: Celebrating Innovation in Vehicle Safety & Security

We’re thrilled to announce the successful completion of the Safety First! competition in 2024. With a total of five teams and 12 students showcasing their innovative ideas, the event highlighted crucial advancements in vehicle safety.

Out of the initial five teams, four advanced to the finals, demonstrating exceptional progress from ideation to implementation. Here’s a glimpse of the remarkable projects presented by the podium finalists:

  1. DBN-Sense: Introduced a hidden Markov model for predicting accident risk across various scenarios.
  2. The Crash Test Dummies: Developed a camera-based solution to mitigate wildlife-related traffic accidents.
  3. Connectivity Visionaries: Established an innovative test environment comparing DSRC and cellular technology-based applications to enhance the safety of vulnerable road users.

After rigorous evaluation, the final rankings were unveiled:

  • 1st Place: DBN-Sense
  • 2nd Place: The Crash Test Dummies
  • 3rd Place: Connectivity Visionaries

Congratulations to all the finalists for their outstanding contributions to advancing vehicle safety!

We would like to extend our sincere thanks to our jury members from our industrial partners:

 

Péter Simányi, Jaguar Land Rover

Réka Enikő Jenei, Bosch

Thank you for your valuable work and contribution to the success of the competition!

Another milestone reached in this year’s Safety First! competition!

The detailed documentation of safety solutions developed by teams has been submitted for the second edition of the Safety First! vehicle safety & security technology innovation competition! The entries were evaluated by leading experts from industrial partners, university lecturers, and researchers. The final of the competition will take place on May 17th.

We cheer for the advancing teams! Go DBN-Sense, SafeTraverse, Connectivity Visionaries, The Crash Test Dummies, and Binary Asymmetry!

We thank Robert Bosch Kft. and Jaguar Land Rover Hungary Kft. for their support, contributing to the organization of the competition!”

Safety First launches again this year

For the second time, our department is organising the Safety First! team competition among the students of the university.

The three-round team competition “SAFETY FIRST!” is organised annually by the Department of Automotive Technologies at Budapest University of Technology and Economics. The aim of the competition is to promote the field of transport safety and to motivate students interested in the subject to implement innovative research ideas. Through the competition, we support our students to find innovative solutions to current problems in transport and vehicle safety.

In the first round, teams of 3 will be invited to give a short presentation on their potential solution to the chosen safety problem. The presentation and the abstract submitted at the time of application will be evaluated by a panel of experts and the winners will be selected.

The teams participating in the second round of the competition will be supported by industry and academic consultants involved in the development process. As a result, the teams will present their concept and its applicability in a 6-10 page abstract, including model-based tests to demonstrate its benefits.

The third round teams will present their idea and the practical application of their concept through a demonstration.

The competition gives candidates the opportunity to use their knowledge of science, engineering and mathematics to create and develop cost-effective concepts in the field of road safety. As well as testing their knowledge, it is an excellent opportunity to network with other students and industry and academic experts.

APPLICATION DEADLINE: 8 March.

More details and application here.

Panaratas wins the 2023 Safety First! Competition

The 2023 Safety First! Competition, which was organized for the first time this year by the Safety Technology Research Group of the Department of Automotive Technologies of BME in order to establish a tradition among the students of the university. “Our aim is to promote the field of traffic safety and to inspire students interested in this scientific area. Through the competition, we support the students involved in finding new and innovative solutions to current problems in the field of transport safety.” – said Árpád Török PhD, Head of the Safety Technology Research Group, after the final event of the competition.

The 6 teams and 16 students who participated presented their innovative ideas in areas of high importance for vehicle safety and cybersecurity. Out of the 6 teams, 3 teams, ShieldTech, Panaratas and NAVSTAR, made it to the final and were able to take their ideas from the first round to the implementation phase. The finalist teams therefore presented working models in the final round.

ShieldTech presented a machine learning model for the protection of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, which is suitable for detecting and preventing unauthorized access. Panaratas has developed a ROS2-based virtual environment for evaluating intrusion detection systems (IDS) in intelligent transport systems (ITS). NAVSTAR has developed a driver monitoring system that identifies the drivers’ emotional state by analyzing speech patterns and tone of voice. Panaratas was the winner, ShieldTech was awarded second place and NAVSTAR was ranked third.

Congratulations to the finalists, and we look forward to seeing more teams at next year’s competition!

New PhD students joined the laser and additive technologies research group

In February this year, a new PHD student joined the laser and additive technologies research group, who researches the possibilities and limitations of AM specific design, as well as its effects on the 3D metal printing process and the properties of the printed part.

Innovative Vehicle Technology within Horizon Europe

Jointly with BME-FIEK our project proposal on Horizon proposal is announced. One of the latest installment of BME LinkedIn series, #MeetBMEresearchers, is now live and available for viewing.

You can access the post at this link.

Új publikációja jelent meg a Safety and Security csoportnak a Vehicular Communications folyóiratban

A jövőbeli közlekedés várhatóan összekapcsolt, együttműködő és nagymértékben automatizált lesz, ami új kihívások elé állítja az autóipart.

A BME Automated Drive Lab Safety and Security Kutatócsoportja új publikációt adott ki PETHŐ Zsombor, SZALAY Zsolt, és az TÖRÖK Árpád a V2V kommunikáció biztonsági kérdéseire összpontosítva, különös tekintettel a kibertámadásokra érzékeny hálózati teljesítményre és a járműdinamikai tényezőkre.

Letették az alapjait egy új vizsgálati módszertannak, amely lehetővé teszi a biztonsági és a kiberbiztonsági szempontok együttes vizsgálatát. Ez az új koncepció a homologizációban és az autonóm járművezérlésben is alkalmazható lesz.

Olvassa el a kiadványt, és tudjon meg többet az új #SRI indikátorról és más #CCAM rendszerbiztonsági tényezőkről itt:
https://lnkd.in/gJR8dNam