CSHOT on Laser Reflectance [la] [CSoR]

Submitted on 10 Dec. 2014 22:43 by
Leonard Plotkin (KIT)

Running time:3.5 s
Environment:4 cores @ >3.5 Ghz (Python + C/C++)

Method Description:
Estimation of object position with k-Means,
AdaBoost and kNN based on CSHOT features computed
for LIDAR data including laser reflectance
Latex Bibtex:
author = {Leonard Plotkin},
title = {PyDriver: Entwicklung eines Frameworks
für räumliche Detektion und Klassifikation von
Objekten in Fahrzeugumgebung},
school = {Karlsruhe Institute of Technology},
type = {Bachelor's Thesis ({Studienarbeit})},
address = {Germany},
month = MAR,
year = 2015,
url =

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).

Benchmark Easy Moderate Hard
Car (Detection) 31.52 % 21.66 % 17.99 %
Car (Orientation) 30.65 % 20.82 % 17.14 %
This table as LaTeX

2D object detection results.
This figure as: png eps pdf txt gnuplot

Orientation estimation results.
This figure as: png eps pdf txt gnuplot

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