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Event-based Vision: A Survey - UZH
or wearable electronics [10], where operation under uncon-trolled lighting conditions, latency, and power are impor-tant [11]. Event cameras are used for object tracking [12], ... presents neuromorphic processors and embedded systems. Section 6 reviews the software, datasets and simulators to work on event cameras, as well as additional sources of
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Event-based Vision: A Survey - UZH
rpg.ifi.uzh.chities include real-time interaction systems, such as robotics or wearable electronics [10], where operation under uncon-trolled lighting conditions, latency, and power are impor-tant [11]. Event cameras are used for object tracking [12], [13], surveillance and monitoring [14], and object/gesture recognition [15], [16], [17].
IEEE TRANSACTIONS ON ROBOTICS, VOL. 32, NO. 6, …
rpg.ifi.uzh.chAbstract—Simultaneous localization and mapping (SLAM) con-sists in the concurrent construction of a model of the environment ... position paper and tutorial to those who are users of SLAM. By ... LAM comprises the simultaneous estimation of the state of a robot equipped with …
SVO: Fast Semi-Direct Monocular Visual Odometry - UZH
rpg.ifi.uzh.chInertial Measurement Unit. This setup allowed fully au-tonomous way-point following in outdoor areas [1]–[3] and collaboration between MAVs and ground robots [4], [5]. To our knowledge, all monocular Visual Odometry (VO) systems for MAVs [1], [2], [6], [7] are feature-based. In RGB-D and stereo-based SLAM systems how-
SVO: Fast Semi-Direct Monocular Visual Odometry
rpg.ifi.uzh.challows tracking a patch over a wide range of viewpoints, thus, greatly reducing drift in the estimation. The authors of [19]–[21] reported real-time performance, however, only with few selected planar regions and on small datasets. A VO algorithm for omnidirectional cameras on cars was proposed in [22]. In [8], the local planarity assumption ...
A Benchmark Comparison of Monocular Visual-Inertial …
rpg.ifi.uzh.chVIO algorithms, and there are several open-source software packages available that offer off-the-shelf visual pipelines that can be deployed on an end-user's system of choice. The current research literature offers some comparative results on the performance of the popular VIO algorithms, but these typically consider only a subset of the existing