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NEW SOURCE OF GEOSPATIAL DATA: CROWDSENSING BY ASSISTED AND AUTONOMOUS VEHICLE TECHNOLOGIES
Crowdsensing/Crowdsourcing Autonomous/Driverless Vehicles Mobile Mapping, Deep Learning
2018/11/8
The ongoing proliferation of remote sensing technologies in the consumer market has been rapidly reshaping the geospatial data acquisition world, and subsequently, the data processing as well as infor...
INFLUENCE OF DOMAIN SHIFT FACTORS ON DEEP SEGMENTATION OF THE DRIVABLE PATH OF AN AUTONOMOUS VEHICLE
LiDAR Computer Vision Self-driving cars Weakly-supervised learning Convolutional Neural Network Domain adaptation
2018/6/4
One of the biggest challenges for an autonomous vehicle (and hence the WEpod) is to see the world as humans would see it. This understanding is the base for a successful and reliable future of autonom...
Position and Orientation Data Requirements for Precise Autonomous Vehicle Navigation
Position and Orientation DARPA Urban Grand Challenge Autonomous Vehicles Sensor Fusion POS LV
2015/11/24
The challenge of navigating an autonomous vehicle over large distances was illustrated in 2005 at the DARPA Grand Challenge when 4 out of 23 Teams successfully completed a 132 mile course within a 10 ...
mobile mapping and autonomous vehicle navigation
Navigation Mobile Mapping Georeferencing Autonomous Vehicle Navigation
2015/9/1
Land-based Mobile Mapping Systems (MMS) are widely used in a variety of applications; these systems generally capture image data along the corridor the vehicle travels and the collected imagery gets p...