Germany

Around fifteen years ago, the development of cooperative systems started. Short-range communication would provide connectivity between neighbouring vehicles to exchange information, both of their own position and velocity, and of information observed by vehicle sensors, e.g. concerning obstacles on the road or road surface conditions. The idea was that this would enable a whole range of new safety and driver comfort applications. Also other road users, especially vulnerable road users such as pedestrians and cyclists, could participate in such connectivity, now that smartphones had become widespread. Deployment of cooperative systems has been less rapid than of autonomous systems, partly due to the higher level of complexity of the technology. Also, these systems are less known by the general public. But certainly they are a prelude (and an indispensable component) of an even more advanced technology, which has come to rapid development in recent years, and is receiving widespread attention, also from the general public: automated driving. In view of its complexity, several levels of vehicle automation are distinguished, from no automation at all to high-level and full automation.
This speech presents recent results of the ongoing efforts for development and deployment of cooperative systems for road transport. These systems use communication between vehicles, as well as between vehicles and infrastructure, other road users and network, for exchange of information, enabling various applications for safety, efficiency and comfort. Cooperative Intelligent Transport Systems (C-ITS), also referred to as connected vehicles, are a prelude to, and pave the way towards road transport automation. Vehicle connectivity and information exchange will be an important asset for future highly-automated driving The speech provides an insight in the state of the art of C-ITS, especially addresses the important role of ICT infrastructure, and presents the main achievements in recent European projects.

VEHITS 2020

Cooperative Intelligent Transport Systems: Towards High-Level Automated Driving

ICPR 2020 is the premier international conference on Pattern Recognition, gathering leading researchers from around the world to present their latest achievements in Pattern Analysis and Recognition, applied Artificial Intelligence and Machine Learning. The topic of the year is " Putting Artificial intelligence to work on Patterns". 
For the first time, ICPR has employed a two-round review process similar to journal submissions, with new papers allowed to be submitted in either the first or second round and papers submitted in the first round and not accepted allowed to be revised and re-submitted for second round review. 

In this edition of the **ICPR 2020** Conference, there are 1407 Oral/Poster presentations organized in five Tracks: 
- Artificial Intelligence, Machine Learning for Pattern Analysis; 
- Biometrics, Human Analysis and Behavior Understanding; Computer Vision, Robotics and Intelligent Systems; 
- Document and Media Analysis; and 
- Image and Signal Processing. 

The **ICPR 2020** Main Conference program also includes 7 Keynotes from prominent world-renowned scientists, 8 Tutorials, 28 Demos, 8 Challenges, 2 Panels, as well as an Industry/Sponsor Exhibition. In addition, 41 Workshops on a range of important current and emerging research topics complete the ICPR 2020 program. 


ICPR 2020

keynote

The 6th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) focuses on innovative applications, tools and platforms in all technology areas such as signal processing, wireless communications, informatics and electronics, related to different kinds of vehicles, including cars, off-road vehicles, trains, ships, underwater vehicles, or flying machines, and the intelligent transportation systems that connect and manage large numbers of vehicles, not only in the context of smart cities but in many other application domains.

The purpose of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) is to bring together engineers, researchers and practitioners interested in the advances and applications in the field of Vehicle Technology and Intelligent Transport Systems.

The development of autonomously driving trucks could be the first business case where autonomous driving technology is used purposefully in a commercial environment. In recent years, trucks in Europe are already required to have specific driver assistance technologies installed, for safer driving on motorways avoiding collisions. Trucks have a lot of kinetic energy because of the potentially large mass (e.g. 40 tons). Therefore, safety of truck driving does have a high priority, because accidents are often fatal. All truck manufacturers and also suppliers are working towards higher degrees of autonomy of truck driving, with the goal of reducing the number of accidents. Specific challenges are the different constraints regarding sensor mounting. Most truck cabins have their own motion characteristics due to specific suspension technologies, which need to be taken into account when mounting sensors. Also the maneuverability of a truck is different than that of a passenger vehicle. 
This talk will present the challenges in the development of fully autonomous trucks and will focus on specific recent developments which will lead to a revolution of the road freight transport systems.

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Autonomously Driving Trucks - Challenges and Opportunities

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