Building an Efficient Occupancy Grid Map Based on Lidar Data Fusion for Autonomous driving Applications
The Localization and Map building module is a core building block for designing an autonomous vehicle. It describes the vehicle ability to create an accurate model of its surroundings and maintain its position in the environment at the same time. In this thesis work, we contribute to the autonomous...
Main Author: | Salem, Marwan |
---|---|
Format: | Others |
Language: | English |
Published: |
KTH, Skolan för elektroteknik och datavetenskap (EECS)
2019
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263098 |
Similar Items
-
LiDAR Point Cloud Generation for SLAM Algorithm Evaluation
by: Łukasz Sobczak, et al.
Published: (2021-05-01) -
Segmented DP-SLAM
by: Maffei, Renan de Queiroz
Published: (2013) -
Segmented DP-SLAM
by: Maffei, Renan de Queiroz
Published: (2013) -
Segmented DP-SLAM
by: Maffei, Renan de Queiroz
Published: (2013) -
Environment Perception for Autonomous Driving : A 1/10 Scale Implementation Of Low Level Sensor Fusion Using Occupancy Grid Mapping
by: Rawat, Pallav
Published: (2019)