Autonomous vehicles (aka self-driving cars) and their equipped intelligent systems are among the most exciting and innovative technologies in transportation. In order to operate safely, autonomous vehicles require high-precision geospatial datasets and maps, which contain significantly more detailed road information and the true ground (absolute accuracy) than those found in current conventional geospatial resources for driving.
With the integration with artificial intelligence, machine learning, spatial data mining, image processing and other technologies, many innovative intelligent applications are fast growing. This international workshop aims to bring both academic researchers and geospatial industry engineers & research scientists together to present, discuss, and share the state-of-the-art scientific research and technology advancement on related fields for autonomous vehicles. The workshop participants will also have an opportunity to share the state-of-arts technology and brainstorm their visions of high-precision maps and development on future intelligent applications for autonomous vehicles.
TOPICS (BUT NOT LIMITED TO):
Automate data pipelines for high-precision maps using deep learning
Computational models of the road surface and surrounding environments
Feature extraction (e.g., lanes) from remote sensing imageries or LIDAR point clouds
Automatic road sign data collection methods and systems
Passenger pick-up in a garage or indoor environment without accurate GPS information
Adoption of precise navigation system to robotics applications
Application of relative coordinate system in GIS for regional navigation
Computer visions and pattern recognition for stereo camera images
System integration and navigation for self-driving cars
Smart sensor networks and intelligent parking technologies
High-precision GPS for autonomous vehicles
Context-based routing
Automated delivery
Artificial intelligence applications for autonomous vehicles
Spatiotemporal data mining for autonomous vehicles
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