22-03-2018 дата публикации
Номер: US20180079422A1
Systems and method are provided for assessing a target vehicle in proximity to a host vehicle. In one example, a method includes identifying the target vehicle in proximity to the host vehicle; obtaining sensor data, from one or more sensors onboard the host vehicle, pertaining to one or more characteristics of the target vehicle; and assessing a state of the target vehicle, via a processor, via a dynamic Bayesian network, using the sensor data as inputs for the dynamic Bayesian network. 1. A method for assessing a target vehicle in proximity to a host vehicle , the method comprising:detecting the target vehicle in proximity to the host vehicle;obtaining sensor data, from one or more sensors onboard the host vehicle, pertaining to one or more characteristics of the target vehicle; andassessing a state of the target vehicle, via a processor, via a dynamic Bayesian network, using the sensor data as inputs for the dynamic Bayesian network.2. The method of claim 1 , wherein the step of assessing the state of the target vehicle comprises assessing the state of the target vehicle as active or inactive based on a dynamic Bayesian network claim 1 , using the sensor data in the dynamic Bayesian network claim 1 , wherein the state of the target vehicle is characterized as:active, if the target vehicle is attempting to travel to a location; andinactive, if the target vehicle is not attempting to travel to a location.3. The method of claim 1 , wherein each of the steps is performed as part of operation of an autonomous vehicle.4. The method of claim 1 , wherein the step of assessing the state of the target vehicle comprises assessing a state of the target vehicle claim 1 , via a processor claim 1 , via the dynamic Bayesian network that includes a plurality of percept nodes claim 1 , a plurality of dynamic nodes claim 1 , a plurality of intermediate nodes claim 1 , and an activity node representing the state of the target vehicle claim 1 , using the sensor data as inputs for the ...
Подробнее