2014 44th European Microwave Conference 2014
DOI: 10.1109/eumc.2014.6986388
|View full text |Cite
|
Sign up to set email alerts
|

How do traffic signs look like in radar?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2015
2015
2016
2016

Publication Types

Select...
5

Relationship

2
3

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 6 publications
0
4
0
Order By: Relevance
“…[8]) 2) The material and shape of the reflecting target 3) The viewing angle of the target (cf. [9]) 4) Disrupting factors such as atmospheric attenuation, interference due to superposition of reflections from multiple scatter points or multi-path propagation and thermal receiver noise The first of these influencing factors, the radial distance, is deterministic and therefore does not cause different reflective behaviors of the same target for different situations. It is compensated for further processing, i.e.…”
Section: Sensor Uncertainty Modelsmentioning
confidence: 99%
“…[8]) 2) The material and shape of the reflecting target 3) The viewing angle of the target (cf. [9]) 4) Disrupting factors such as atmospheric attenuation, interference due to superposition of reflections from multiple scatter points or multi-path propagation and thermal receiver noise The first of these influencing factors, the radial distance, is deterministic and therefore does not cause different reflective behaviors of the same target for different situations. It is compensated for further processing, i.e.…”
Section: Sensor Uncertainty Modelsmentioning
confidence: 99%
“…Radar will have to detect landmarks of this database in their neighborhood while driving. By finding the relative pose of the vehicle with respect to the landmarks in the neighborhood and by combining this relative position information with the global position information of the landmarks also stored in the database the vehicle can calculate its global pose [15]. Such approaches are well suited for large areas, where standard Grid-Based SLAM methods will suffer from the demand in computational resources.…”
Section: Cut-in Collisionmentioning
confidence: 99%
“…Landmarks: In [15,23] a novel approach is pursued that uses aggregated observations of the vehicle's radar sensor for self-localization. While a vehicle is driving along a road, all observations of every radar snapshot are accumulated into one local map taking into account the vehicle movement between two snapshots.…”
Section: )mentioning
confidence: 99%
“…The microwave radar sensor receives very weak signal when the target plane is not directly facing the sensor [4]. The radar sensor in this case can only rely on some diffuse reflection caused by surface roughness or uneven inner density related dielectric constant of the targets for target detection.…”
Section: B Reflectivity Of Planary Targets Under Different Anglesmentioning
confidence: 99%