Low-Latency Line Tracking Using Event-Based Dynamic Vision Sensors.

ABSTRACT: In order to safely navigate and orient in their local surroundings autonomous systems need to rapidly extract and persistently track visual features from the environment. While there are many algorithms tackling those tasks for traditional frame-based cameras, these have to deal with the fact that conventional cameras sample their environment with a fixed frequency. Most prominently, the same features have to be found in consecutive frames and corresponding features then need to be matched using elaborate techniques as any information between the two frames is lost. We introduce a novel method to detect and track line structures in data streams of event-based silicon retinae [also known as dynamic vision sensors (DVS)]. In contrast to conventional cameras, these biologically inspired senso

SUBMITTER: Everding L 

PROVIDER: S-EPMC5825909 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature