The right (angled) perspective: Improving the understanding of road scenes using boosted inverse perspective map**
Many tasks performed by autonomous vehicles such as road marking detection, object
tracking, and path planning are simpler in bird's-eye view. Hence, Inverse Perspective …
tracking, and path planning are simpler in bird's-eye view. Hence, Inverse Perspective …
An ego-lane estimation method with sensor failure modelling
Accurate vehicle localization at the level of individual lanes is crucial to ensure the safe and
efficient operation of autonomous vehicles, serving as a cornerstone for the development of …
efficient operation of autonomous vehicles, serving as a cornerstone for the development of …
Maplite: Autonomous intersection navigation without a detailed prior map
In this work, we present MapLite: a one-click autonomous navigation system capable of
piloting a vehicle to an arbitrary desired destination point given only a sparse publicly …
piloting a vehicle to an arbitrary desired destination point given only a sparse publicly …
Vehicle localization using 3D building models and point cloud matching
Detecting buildings in the surroundings of an urban vehicle and matching them to building
models available on map services is an emerging trend in robotics localization for urban …
models available on map services is an emerging trend in robotics localization for urban …
What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap
A Qu, A Valiveru, C Tang, V Jayawardana… - ar** grade-separated junctions in detail using crowdsourced trajectory data
As an important component in transportation maps, three-dimensional (3D) structure
information of grade-separated junctions is crucial for applications such as intelligent …
information of grade-separated junctions is crucial for applications such as intelligent …
Visual localization at intersections with digital maps
This paper deals with the task of ego-vehicle localization at intersections, a significant task in
autonomous road driving. We propose an online vision-based method that can hence be …
autonomous road driving. We propose an online vision-based method that can hence be …
Model guided road intersection classification
Understanding complex scenarios from in-vehicle cameras is essential for safely operating
autonomous driving systems in densely populated areas. Among these, intersection areas …
autonomous driving systems in densely populated areas. Among these, intersection areas …
Anytime lane-level intersection estimation based on trajectories of other traffic participants
Estimating and understanding the current scene is an inevitable capability of automated
vehicles. Usually, maps are used as prior for interpreting sensor measurements in order to …
vehicles. Usually, maps are used as prior for interpreting sensor measurements in order to …
Ego-lane estimation by modeling lanes and sensor failures
In this paper we present a probabilistic lane-localization algorithm for highway-like
scenarios designed to increase the accuracy of the vehicle localization estimate. The …
scenarios designed to increase the accuracy of the vehicle localization estimate. The …