Abstract:
The sensors on a vehicle can have difficulties identifying surrounding objects in the environment. Markers with predetermined properties that match with reading capabilities of the on-vehicle sensors would provide information about the surrounding environment. In particular, adjacent vehicles may have markers with predetermined properties that match with reading capabilities of the vehicle sensors. The sensors would obtain information about the surrounding vehicles on the road, which could be used to provide context for decision making of the advanced driver assistance system.
Abstract:
A method for forming an inorganic or hybrid organic/inorganic layer on a substrate, which method comprises vaporizing a metal alkoxide, condensing the metal alkoxide to form a layer atop the substrate, and contacting the condensed metal alkoxide layer with water to cure the layer is disclosed.
Abstract:
Example systems disclosed herein include a temporary traffic control (TTC) zone monitoring system that assesses and responds to a risk of an adverse event in the TTC zone. The TTC zone monitoring system includes at least one sensor and a computing device. The computing device processes sensor data from the sensor to identify one or more features of the TTC zone. The features of the TTC zone include traffic control features, vehicle features, pathway features, or environmental features. The computing device determines a risk indicative of a risk of an adverse event in the TTC zone based on risk factors. Each of the risk factors is indicative of a risk of an adverse event associated with at least one feature the TTC zone and is based on adverse event data of the at least one feature. The computing device performs at least one operation based on the risk score.
Abstract:
Example systems disclosed herein include a temporary traffic control (TTC) zone monitoring system that assesses and responds to a risk of an adverse event in the TTC zone. The TTC zone monitoring system includes at least one sensor and a computing device. The computing device processes sensor data from the sensor to identify one or more features of the TTC zone. The features of the TTC zone include traffic control features, vehicle features, pathway features, or environmental features. The computing device determines a risk indicative of a risk of an adverse event in the TTC zone based on risk factors. Each of the risk factors is indicative of a risk of an adverse event associated with at least one feature the TTC zone and is based on adverse event data of the at least one feature. The computing device performs at least one operation based on the risk score.
Abstract:
The sensors on a vehicle can have difficulties identifying surrounding objects in the environment. Markers with predetermined properties that match with reading capabilities of the on-vehicle sensors would provide information about the surrounding environment. In particular, adjacent vehicles may have markers with predetermined properties that match with reading capabilities of the vehicle sensors. The sensors would obtain information about the surrounding vehicles on the road, which could be used to provide context for decision making of the advanced driver assistance system.