Exact(7)
SmartLoc detects the road infrastructures and driving patterns as landmarks to calibrate the localization results.
This method results in corrosion of the road infrastructures and damage to surrounding vegetation.
In Section 6, we discuss how the road infrastructures and driving features are used to improve the localization accuracy.
We also design a calibration strategy based on the road infrastructures (e.g., bridge, traffic lights, uphill, and downhill), and driving status (e.g., turns, stops), which are inferred from the sensor data, such as accelerometer, gyroscope, and magnetometer.
Both in British Columbia and Rwanda the road infrastructures are designed and built for LHD vehicles but there are significant numbers of RHD vehicles operating in the road network.
As we mentioned previously, the road infrastructures, including tunnels, bridges, crossroads and traffic lights, cause large noises in the data collected from inertia sensors, which also result in a large drift in the estimated moving distance if they are not treated rigorously.
Finally, the model results provide data for improving capacity to take passenger vehicles away from goods vehicles (because they provide paths used by goods vehicles and pedestrians), to calculate quantitative indicators, and to ordinate the road infrastructures in a list to be used by public decision makers as a quantitative and ordinate sequence of intervention priority.
Similar(1)
Our cars memorize the road infrastructure in minute detail.
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