The research article titled Trajectory Planning of Automated Vehicles Using Real-Time Map Updates has been published in the IEEE Access journal. The research results were achieved through the collaboration between Dr. Mátyás Szántó, member of our research team and Tecnalia, the largest center of applied research and technological development in Spain.
In this paper, the authors introduce a map management module that communicates with Connected and Automated Vehicles (CAVs) using MQTT. They show that this novel solution is capable of introducing low-latency externally perceived obstacles to CAVs connected to it. Using the novel candidate/employed mapping solution, we prove that objects observed on road segments by a physical CAV can be registered to a map with low-latency and thus known to other CAVs.
The full publication is available on this link.
Congratulations to the authors for the published article!
