Robot Intelligence for Real World Applications

Liu, Yunhui; Fan, Zheng; Guo, Ruibin; Wang, Jiangliu; Nie, Qiang; Wang, Xin; Wang, Zerui

doi:10.1049/cje.2018.03.007

Cited by 5 publications

(1 citation statement)

References 85 publications

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“…For the fields of current Unmanned aerial vehicle (UAV), 3D printing, robotics, virtual reality helmet, smart phones, smart home, face recognition for paying, intelligent monitoring and others [ 1–9 ] , the challenges, such as environmental perception, man‐machine natural interaction, obstacle avoidance, 3D scanning, accurate identification, three‐dimensional need to be solved for their more research and development. While the depth perception technology which is the generic key technology help to solve these problems.…”

Section: Introductionmentioning

confidence: 99%

VLSI Design for High‐Precision Three‐Dimensional Depth Perception Chip

Yao

Zhou

et al. 2021

Chinese J of Electronics

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This paper presents a Very large scale integration (VLSI) design method for Three‐dimensional (3D) depth perception chip based on infrared coding structure light. The primary sub‐modules on the chip contain the speckle pattern preprocessing module, block‐matching disparity estimation, depth mapping and post‐processing. The chip employs pipelining technology, and after Application specific integrated circuit (ASIC) verification, it proves that our chip has more advantages in performance of depth precision (12bits, 1mm @ 1m), image resolution (1280×960), time delay (less than 17ms), range limit (0.4~6m). It also can generate more stable and smooth depth map in real‐time, which can be used in 3D recognition, motion capture or scene perception.

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Section: Introductionmentioning

confidence: 99%

VLSI Design for High‐Precision Three‐Dimensional Depth Perception Chip

Yao

Zhou

et al. 2021

Chinese J of Electronics

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show abstract

Design and Application of Artificial Intelligence Robot Based on Automation Technology

Tong

2024

Lecture Notes on Data Engineering and Communications Technologies

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Dynamic Multi‐Task Allocation Method for Passenger Diffusion in Mobile Crowd Sensing

Jiang

Sijian

2021

Chinese J of Electronics

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This paper aims to solve the problem of low efficiency, high cost and instability in opportunistic network transmission in the process of mobile group intelligence perception task allocation. Two multi‐task dynamic distribution methods based on Lowest cost Participant selection algorithm (LC‐PSA) based on user incentive cost and Least number Participant selection algorithm (LN‐PSA) based on number of users are proposed respectively. Through these two algorithms, the goal of minimizing the number of people and moving distance required for the task and reducing the system's incentive cost is achieved. Simulation experiments show that compared with similar algorithms, the number of participants in the task distribution scheme selected by the LN‐PSA algorithm is reduced by 24.0%, and the system resource consumption is lower, which can provide stable services for the system when users are insufficient in emergencies. Compared with the traditional greedy heuristics algorithm, the LC‐PSA algorithm reduces the total system cost by 37.74% and has better overall performance in the comparison experiment.

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Robot Intelligence for Real World Applications

Cited by 5 publications

References 85 publications

VLSI Design for High‐Precision Three‐Dimensional Depth Perception Chip

VLSI Design for High‐Precision Three‐Dimensional Depth Perception Chip

Design and Application of Artificial Intelligence Robot Based on Automation Technology

Dynamic Multi‐Task Allocation Method for Passenger Diffusion in Mobile Crowd Sensing

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