End-to-end learning of driving models with surround-view cameras and route planners
For human drivers, having rear and side-view mirrors is vital for safe driving. They deliver a
more complete view of what is happening around the car. Human drivers also heavily exploit …
more complete view of what is happening around the car. Human drivers also heavily exploit …
[HTML][HTML] Democracy by design: Perspectives for digitally assisted, participatory upgrades of society
The technological revolution, particularly the availability of more data and more powerful
computational tools, has led to the emergence of a new scientific field called “Computational …
computational tools, has led to the emergence of a new scientific field called “Computational …
Using gamification to discover cultural heritage locations from geo-tagged photos
Many enchanting cultural heritage locations are hidden from tourists, especially when
considering countries full of historic attractions. Tourists tend to consider only mainstream …
considering countries full of historic attractions. Tourists tend to consider only mainstream …
Analyzing how travelers choose scenic routes using route choice models
Finding a scenic route between two locations is a common trip planning task, in particular for
tourists and recreational travelers. For the automated computation of a scenic route in a trip …
tourists and recreational travelers. For the automated computation of a scenic route in a trip …
SakuraSensor: Quasi-realtime cherry-lined roads detection through participatory video sensing by cars
S Morishita, S Maenaka, D Nagata, M Tamai… - Proceedings of the …, 2015 - dl.acm.org
In this paper, we propose SakuraSensor, a participatory sensing system which automatically
extracts scenic routes information from videos recorded by car-mounted smart-phones and …
extracts scenic routes information from videos recorded by car-mounted smart-phones and …
No more autobahn! Scenic route generation using Googles street view
Navigation systems allow drivers to find the shortest or fastest path between two or multiple
locations mostly using time or distance as input parameters. Various researchers extended …
locations mostly using time or distance as input parameters. Various researchers extended …
Learning accurate and human-like driving using semantic maps and attention
This paper investigates how end-to-end driving models can be improved to drive more
accurately and human-like. To tackle the first issue we exploit semantic and visual maps …
accurately and human-like. To tackle the first issue we exploit semantic and visual maps …