"Today, intelligent  development is focused on two

main issues - the level of autonomy and the level of cooperation," says Alcherio Martinoli, who heads EPFL's Distributed Intelligent Systems and Algorithms Laboratory (DISAL). Over the past several years, his team has been working on cooperation issues, which have yet to garner much attention from the automotive industry. As part of his PhD thesis, Milos Vasic has developed cooperative perception algorithms, which extend an intelligent vehicle's situational awareness by fusing data from onboard sensors with data provided by cooperative vehicles nearby.
The researchers used the cooperative perception algorithms as the basis for the . For example, in a scenario in which one car overtakes another car on a two-lane road, they developed an assistance system that assesses the risk of the overtaking manoeuver. The risk assessment factors in the probability of an oncoming car in the opposite lane as well as kinematic conditions such as driving speeds, the distance required to overtake and the distance to the oncoming car. Cooperative perception means that an  can combine its own data with that of another vehicle - such as the one it wants to overtake, which has a wider field of view. In this way, the decision whether or not to overtake can be made safely. According to Vasic, "cooperative perception makes overtaking safer and more fluid."


Read more at: https://phys.org/news/2017-10-intelligent-vehicles.html#jCp