Evaluation Framework and Method of the Intelligent Behaviors of Unmanned Ground Vehicles Based on AHP Scheme

Abstract

In order to provide basis and standards to the research on unmanned driving behaviors, a more thorough evaluation system of Intelligent Behavior for Unmanned Ground Vehicles needs to come forward. The intelligent behavior of unmanned ground vehicles in pedestrian crossing scenario is taken as an example in this paper. By using building and analyzing evaluation index system, this paper proposes an evaluation method that can comprehensively expressed the technological performance of unmanned ground vehicles based on Analytic Hierarchy Process (AHP). Compared with traditional methods, this evaluation method takes index weight into sufficient conderations and is more objective. The method properly works out with index weight of specific scenarios that reflects the actual situations. The establishment of comprehensive scoring method objectively and conveniently turns the performances of unmanned ground vehicle into scores, so that the results can be compared and ranked directly. Last but not least, a certain participating vehicle is used for case study. The result proves aforementioned method to be practical, reliable, convenient and logical. It not only evaluates the assessment comprehensively, but also evaluates the index separately to guide researchers to find out the defects of unmanned driving vehicle evaluation indexes and point out ways to improve them.

Multiple people continuous tracking and identification using millimeter-wave radar

“…To realize the above services, people tracking and identification need to be performed with high accuracy and without human intervention. In addition, people tracking and identification are widely used in human-computer interaction [15,4], unmanned driving [30,12] and military fields [7].…”

Research on the Quantitative Evaluation of the Traffic Environment Complexity for Unmanned Vehicles in Urban Roads

“…They also established an evaluation index system of the typical environment complexity in rural areas. For urban roads, some studies [19]- [23] divided the urban traffic environment into the static environment and the dynamic environment roughly, and they proposed the calculation model of urban environment complexity to quantify the complexity of urban traffic environment based on information entropy. However, the model ignored the variability and diversity of participants in the traffic environment.…”

Application of Gray Correlation and Improved AHP to Evaluation on Intelligent U-Turn Behavior of Unmanned Vehicles

“…U-Turn evaluation environment has been accepted for more competitions in recent years, which was evaluated by analytic hierarchy process [4] . Quantitative evaluation of intelligent behavior of unmanned vehicles based on fuzzy analytic hierarchy process was proposed [5][6] . Recently, U-turn environment is regarded as an important test site since it can reflect technological level of unmanned vehicles.…”