Swarm behavior can be applied to many aspects of autonomous driving: eg localization,
perception, path planning or mapping. A reason for this is that from the information observed …

Self-driving cars are autonomous vehicles that can drive through traffic all by themselves. As
unbelievable or far-fetched as it may sound, it may just be the greatest technological …

Driving automation is becoming an increasing trend in the automotive industry as vehicles
become more and more intelligent, while information is shared among them and with the …

This thesis is concerned with the development of trajectory planning approaches targeting
autonomous driving applications in dynamic environments shared with other traffic …

The need for greater capacity in automotive transportation (in the midst of constrained
resources) and the convergence of key technologies from multiple domains may eventually …

Obstacle detection is a major challenge which must be addressed for optimal
implementation of self-driving cars. Various approaches have been postulated regarding the …

This paper contributes with the first validation of swarm cognition as a useful framework for
the design of autonomous robots controllers. The proposed model is built upon the authors' …

Connected and autonomous vehicles are different from traditional vehicles. The
communication between vehicles (V2V) or between vehicles and infrastructures (V2I) …

The paper adopts a mathematical evaluation and robot swarm simulation. The swarm
approach is bottom‐up: designing individual agents the authors are looking for emerging …

Autonomous vehicles have the potential to drastically improve the safety, efficiency and cost
of transportation. Instead of a driver, an autonomous vehicle is controlled by an algorithm …