53 citations · 107 across the 8 of their papers we have counts for
8 papers
High precision indoor positioning by means of LiDAR
Eduardo Sánchez Morales, Michael Botsch, Bertold Huber +1
The trend towards autonomous driving and the continuous research in the automotive area, like Advanced Driver Assistance Systems (ADAS), requires an accurate localization under all…
High Precision Indoor Navigation for Autonomous Vehicles
Eduardo Sánchez Morales, Michael Botsch, Bertold Huber +1
Autonomous driving is an important trend of the automotive industry. The continuous research towards this goal requires a precise reference vehicle state estimation under all circu…
Parallel Multi-Hypothesis Algorithm for Criticality Estimation in Traffic and Collision Avoidance
Eduardo Sánchez Morales, Richard Membarth, Andreas Gaull +5
Due to the current developments towards autonomous driving and vehicle active safety, there is an increasing necessity for algorithms that are able to perform complex criticality p…
Accuracy Characterization of the Vehicle State Estimation from Aerial Imagery
Eduardo Sánchez Morales, Friedrich Kruber, Michael Botsch +2
Due to their capability of acquiring aerial imagery, camera-equipped Unmanned Aerial Vehicles (UAVs) are very cost-effective tools for acquiring traffic information. However, not e…
Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles
Friedrich Kruber, Eduardo Sánchez Morales, Samarjit Chakraborty +1
The availability of real-world data is a key element for novel developments in the fields of automotive and traffic research. Aerial imagery has the major advantage of recording mu…
Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification
Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales +2
The goal of this paper is to provide a method, which is able to find categories of traffic scenarios automatically. The architecture consists of three main components: A microscopi…