Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: ?receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, ?extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, ?determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), the load model (103) being predetermined based on reference video scenes each being labelled with a load value, ?map the perceptual load to the sensed driving and ?determine a spatial and temporal intensity distribution of the perceptual load across the sensed driving scene. The invention further relates to a vehicle, a system and a method.

Abstract: A control device for a vehicle for determining perceptual load of a visual and dynamic driving scene, the control device being configured to: receive an image sequence representing the driving scene, extract a set of scene features from the image sequence, the set of scene features representing static and/or dynamic information of the driving scene, calculate a time-aggregated representation of the image sequence based on the extracted set of scene features, calculate an attention map of the driving scene by attentional pooling of the time-aggregated representation of the image sequence, and determine the perceptual load of the driving scene based on the attention map. The invention further relates to a corresponding method.

Abstract: The invention relates to an electronic device (1) for predicting the visual perceptual task performance of an individual human. The electronic device is configured to: •receive an output of a first sensor device configured to measure the working memory load at the frontal cortex of the human, and •predict the visual perceptual task performance as a function of said sensor output. The invention further relates to a system and a method.

Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, and determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), wherein the load model (103) is predetermined based on reference video scenes each being labelled with a load value The invention further relates to a system and a method.

Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: ?receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, ?extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, ?determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), the load model (103) being predetermined based on reference video scenes each being labelled with a load value, ?map the perceptual load to the sensed driving and ?determine a spatial and temporal intensity distribution of the perceptual load across the sensed driving scene. The invention further relates to a vehicle, a system and a method.

Abstract: The invention relates to a control device (1) for a vehicle for determining the perceptual load of a visual and dynamic driving scene. The control device is configured to: receive a sensor output (101) of a sensor (3), the sensor (3) sensing the visual driving scene, extract a set of scene features (102) from the sensor output (101), the set of scene features (102) representing static and/or dynamic information of the visual driving scene, and determine the perceptual load (104) of the set of extracted scene features (102) based on a predetermined load model (103), wherein the load model (103) is predetermined based on reference video scenes each being labelled with a load value The invention further relates to a system and a method.

Abstract: There is disclosed a waste treatment process for a fossil-fuel extraction site (18, 40), comprising: processing extracted waste generated by a fossil-fuel extraction process to produce primary waste having a higher calorific value than the extracted waste; mixing the primary waste with secondary waste to generate pyrolysis feedstock, the secondary waste having a lower calorific value than the primary waste; pyrolysing the pyrolysis feedstock in a pyrolysis unit (32) to form pyrolysis char; and gasifying the pyrolysis char in a gasification unit (36) to form syngas and ash.