Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles
Torres, Rocío Díaz de León, Molina, Martín, Campoy, Pascual
–arXiv.org Artificial Intelligence
This article reviews the applications of Bayesian Networks to Intelligent Autonomous Vehicles (IAV) from the decision making point of view, which represents the final step for fully Autonomous Vehicles (currently under discussion). Until now, when it comes making high level decisions for Autonomous Vehicles (AVs), humans have the last word. Based on the works cited in this article and analysis done here, the modules of a general decision making framework and its variables are inferred. Many efforts have been made in the labs showing Bayesian Networks as a promising computer model for decision making. Further research should go into the direction of testing Bayesian Network models in real situations. In addition to the applications, Bayesian Network fundamentals are introduced as elements to consider when developing IAVs with the potential of making high level judgement calls.
arXiv.org Artificial Intelligence
Feb-21-2019
- Country:
- North America > United States
- New York > New York County
- New York City (0.04)
- California > Orange County
- Irvine (0.14)
- New York > New York County
- Europe
- Norway (0.14)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Spain > Galicia
- Madrid (0.04)
- Asia > China
- North America > United States
- Genre:
- Research Report (1.00)
- Overview (1.00)
- Instructional Material > Course Syllabus & Notes (0.46)
- Industry:
- Transportation > Air (1.00)
- Automobiles & Trucks (1.00)
- Aerospace & Defense > Aircraft (1.00)
- Information Technology > Security & Privacy (0.93)
- Health & Medicine (0.68)
- Government