Abstract Autonomous Ground Vehicle (UGV) technology has shown a fast development this
past year and proven to be useful. The use of UGV technology is restricted on a particular …

Road surface condition monitoring and bike riding event detection are crucial in densely
populated cities for travel efficiency and rider safety. However, most current approaches are …

The ability to automatically determine the road type from sensor data is of great significance
for automatic annotation of routes and autonomous navigation of robots and vehicles. In this …

As an important foundation of the smart city, MaaS (Mobility as a Service) provides a
seamless passenger experience using multiple modes of transport from the beginning until …

Routing and navigation services for leisure activities are conditioned by special needs and
trade-offs. The advent of online communities and large crowdsourced datasets offers …

Road pavement type classification is important in route planning, road maintenance and for
autonomous vehicles. In this paper, we propose a deep learning based method for …

The road is a land transportation infrastructure that is often used by the community to support
their daily activities. Damaged road conditions will cause inconvenience and especially …

In this article, we describe a multimodal bike-sensing setup for automatic geoannotation of
terrain types using Web-based data enrichment. The proposed classification system is …

Road-type classification is increasingly becoming important to be embedded in interactive
maps to provide additional useful information for users. The ubiquity of smartphones …

Finally, my thesis is done! It was a bumpy road with a lot of challenges, but we made it to the
final destination. In the process of making this, I learned a lot: I took a deep dive into deep …