Object obstacle detection using stixel approximation
There has been an increasing demand for autonomous driving system in the past decades of studies and numerous initiations have been proposed towards achieving this goal for the benefits of the users especially road users and the pedestrians’ safety. The recent progress of ADAS, advanced driver assis...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/77681 |
| Summary: | There has been an increasing demand for autonomous driving system in the past decades of studies and numerous initiations have been proposed towards achieving this goal for the benefits of the users especially road users and the pedestrians’ safety. The recent progress of ADAS, advanced driver assistance system in real time stereo vision provides useful information such as stereo depth maps. This paper will look beyond obstacle avoidance during real time situations to ensure safety driving. The level of efficiency from this safety platform has been improving over the years and thus increasing driving satisfaction. Since the geometry of the road can be distinguished by two types, horizontal planar surfaces and vertical planar surfaces, we will introduce the study on Stixel World to represent this information by defining the road and the obstacles respectively. |
|---|