Intelligent Test Vehicles are following pre-defined trajectory based on the actual scenario. Just the slightest offset from the ideal scenario and trajectory plan might lead to the situation where the desired outcome is unreachable. In order to be able to compensate such delays and offsets a cooperative behavior required between the test vehicles to adapt to new situations and compensate. ITVs are not able to make decisions that would lead to another scenario – their maneuver space is limited. But ITVs should be able to react on the decisions of the Vehicle Under Test (VUT) and they might be able to compensate in order to avoid accidents
With the development of artificial intelligence and autonomous driving technology, the vehicle-road ...
Simulation platforms play an important role in helping intelligent vehicle research, especially for ...
Road traffic crashes are a major safety problem, with one of the leading factors in crashes being hu...
This paper discusses cooperative path-planning and tracking controller for autonomous vehicles using...
Self-driving cars have become a popular research topic in recent years. Autonomous driving is a comp...
Griffith University's Intelligent Control Systems Laboratory collaborating with INRIA'S IMARA labora...
To explore the characteristics and capabilities of the motor vehicle drivers as the optimal solution...
Cooperative driving is defined as the automated coordination of vehicles based on advanced sensors a...
The traffic engineering community currently faces the advent of a new generation of Intelligent Tran...
Future vehicles are expected to be equipped with wireless communication tech- nology, that enables t...
Cooperative driving enables a more efficient use of existing infrastructure which reduces the expend...
Automation in ground vehicles has been gaining momentum in recent years highlighted by the significa...
International audienceAdvances in Information and Communication Technologies (ICT) allow the transpo...
Many current algorithms and approaches in autonomous driving attempt to solve the trajectory genera...
International audienceThe AUTOPIA program has been working on the development of intelligent autonom...
With the development of artificial intelligence and autonomous driving technology, the vehicle-road ...
Simulation platforms play an important role in helping intelligent vehicle research, especially for ...
Road traffic crashes are a major safety problem, with one of the leading factors in crashes being hu...
This paper discusses cooperative path-planning and tracking controller for autonomous vehicles using...
Self-driving cars have become a popular research topic in recent years. Autonomous driving is a comp...
Griffith University's Intelligent Control Systems Laboratory collaborating with INRIA'S IMARA labora...
To explore the characteristics and capabilities of the motor vehicle drivers as the optimal solution...
Cooperative driving is defined as the automated coordination of vehicles based on advanced sensors a...
The traffic engineering community currently faces the advent of a new generation of Intelligent Tran...
Future vehicles are expected to be equipped with wireless communication tech- nology, that enables t...
Cooperative driving enables a more efficient use of existing infrastructure which reduces the expend...
Automation in ground vehicles has been gaining momentum in recent years highlighted by the significa...
International audienceAdvances in Information and Communication Technologies (ICT) allow the transpo...
Many current algorithms and approaches in autonomous driving attempt to solve the trajectory genera...
International audienceThe AUTOPIA program has been working on the development of intelligent autonom...
With the development of artificial intelligence and autonomous driving technology, the vehicle-road ...
Simulation platforms play an important role in helping intelligent vehicle research, especially for ...
Road traffic crashes are a major safety problem, with one of the leading factors in crashes being hu...