Communications of the ACM
Two Intelligent Vehicles Are Better Than One
Researchers at the Swiss Federal Institute of Technology in Lausanne, Switzerland, are working to improve the reliability and fault tolerance of intelligent vehicle systems by combining the data they gather with data from other vehicles.
Credit: Alain Herzog/EPFL
Researchers at the Swiss Federal Institute of Technology in Lausanne, Switzerland (EPFL) say they are working to improve the reliability and fault tolerance of light detection and ranging systems via a combination of the data collected by an intelligent vehicle's cameras, sensors, and navigation and mapping systems with that collected from other intelligent vehicles.
The team notes this could extend the view of an intelligent vehicle that is behind another car.
The researchers used simulators and road tests to develop a flexible software framework for networking intelligent vehicles so they can interact.
EPFL's Milos Vasic developed cooperative perception algorithms that extend an intelligent vehicle's situational awareness by fusing data from onboard sensors with data provided by cooperative vehicles nearby. The researchers used these cooperative framework algorithms for the software framework.
Although the researchers only conducted tests on two vehicles, they say their long-term goal is to create a network between multiple vehicles, as well with the roadway infrastructure.
From Swiss Federal Institute of Technology in Lausanne
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