Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset

Autor: Li, Bin, Cao, Hu, Qu, Zhongnan, Hu, Yingbai, Wang, Zhenke, Liang, Zichen

Publikováno v: Frontiers in Neurorobotics, Vol 14 (2020)
Frontiers in Neurorobotics, 14
Frontiers in Neurorobotics

Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as the RGB-D camera. Compared to traditional frame-based computer vi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd0e8eb0915301b2a5cf3178739bc68d

Study on Traffic Congestion Pre-Control of Link between Non-Signalized Intersections

Autor: Wang Zhenke, Yue Hailiang, Han Zhi

Publikováno v: 2017 10th International Conference on Intelligent Computation Technology and Automation (ICICTA).

Capacity is defined as the maximum traffic flow passing through a section of a road per hour, which is not related to the length of the link or the traffic characteristics of the upstream and downstream intersections. The traffic condition cannot be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a20c1222b1f1aa67a1bc58ba1961ea21
https://doi.org/10.1109/icicta.2017.90

Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset.

Autor: Li B; JingDong Group, Beijing, China., Cao H; Robotics, Artificial Intelligence and Real-time Systems, Technische Universität München, München, Germany., Qu Z; Computer Engineering and Networks Lab, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland., Hu Y; Robotics, Artificial Intelligence and Real-time Systems, Technische Universität München, München, Germany., Wang Z; College of Automotive Engineering, Tongji University, Shanghai, China., Liang Z; College of Automotive Engineering, Tongji University, Shanghai, China.

Publikováno v: Frontiers in neurorobotics [Front Neurorobot] 2020 Oct 08; Vol. 14, pp. 51. Date of Electronic Publication: 2020 Oct 08 (Print Publication: 2020).