Low-cost ultrasonic based object detection and collision avoidance method for autonomous robots

Mohamed, Sherif Abdelmonem Sayed; Haghbayan, Mohammad-Hashem; Heikkonen, Jukka; Tenhunen, Hannu; Plosila, Juha

doi:10.1007/s41870-020-00513-w

Cited by 26 publications

(7 citation statements)

References 22 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Through collision information detection technology, the number of collision positions and the collision positions can be determined. This technology is usually based on Manchester encoding [33][34]. To improve the recognition efficiency of efficient collision prevention algorithms based on DMQT, the study fully utilizes all collision bits.…”

Section: Design Of Anti-collision Algorithm For Multi-sensing Tagsmentioning

confidence: 99%

Wireless Power Supply Sensing Tags Based on Anti-Collision Algorithm for Sensing Systems

2024

IEEE Access

View full text Add to dashboard Cite

In wireless sensor networks, sensing tags are battery powered, which also limits the battery life. Therefore, it is particularly important to study self powered sensing tags. At present, passive wireless identification systems can achieve self powered communication through tags.However, wireless power supply sensing systems have problems such as low efficiency and short communication distance. To reduce the power consumption of sensing tags and improve the efficiency of sensing systems, a passive wireless low-power hydrogen concentration sensing system is designed. To further reduce the power consumption of sensing tags, a passive wireless magnetic field intensity sensing system is developed.In addition, to solve the low efficiency of multiple sensing labels in wireless power supply sensing systems, an efficient anticollision algorithm based on dynamic binary query trees is designed. According to the research results, in the cold start indoor environment, the energy collection rate of the sensing tag designed in the research was 0.081mJ/s, and the energy collection efficiency was 25.7%.In single/dual sensor mode, the maximum values of sensing error were 2.1% and 5.2%, respectively. The maximum recognition time of the anticollision algorithm based on dynamic multi base query tree was 2.78s, and the minimum value was 1.31s.The research results can provide methodological and technical support for the improvement of wireless power supply sensing systems, expanding the application range of wireless power supply sensing systems.

show abstract

Section: Design Of Anti-collision Algorithm For Multi-sensing Tagsmentioning

confidence: 99%

Wireless Power Supply Sensing Tags Based on Anti-Collision Algorithm for Sensing Systems

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In the third case, three bits are received with overlap. There are 2 3 cases of permutation with the repetition of code '0' and code '1'. As in the second case, there are five overlap ratios and 2 3 × 5 classes.…”

Section: Training Datasetmentioning

confidence: 99%

“…The measurement resolution ranges from a few centimeters to tens of nanometers, depending on the ultrasonic wavelength. Ultrasonic sensors have been used in various applications, such as distance measurement [1][2][3], positioning [4][5][6], non-destructive testing [7,8], and human physical inspection [9][10][11], because of their diverse measurement resolution. In particular, ultrasonic sensors see widespread use to obtain distance measurements in air because they are less expensive than other sensors and can measure with high accuracy, even with simple hardware configurations.…”

Section: Introductionmentioning

confidence: 99%

Improved Frequency Sweep Keying CDMA Using Faster R-CNN for Extended Ultrasonic Crosstalk Reduction

Park,

Baek

2023

Sensors

View full text Add to dashboard Cite

Ultrasonic sensors are inexpensive and provide highly accurate measurements, even with simple hardware configurations, facilitating their use in various fields. When multiple ultrasonic sensors exist in the measurement space, crosstalk occurs due to other nodes, which leads to incorrect measurements. Crosstalk includes not only receiving homogeneous signals from other nodes, but also overlapping by other signals and interference by heterogeneous signals. This paper proposes using frequency sweep keying modulation to provide robustness against overlap and a faster region-based convolutional neural network (R-CNN) demodulator to reduce the interference caused by heterogeneous signals. The demodulator works by training Faster R-CNN with the spectrograms of various received signals and classifying the received signals using Faster R-CNN. Experiments implementing an ultrasonic crosstalk environment showed that, compared to on–off keying (OOK), phase-shift keying (PSK), and frequency-shift keying (FSK), the proposed method can implement CDMA even with shorter codes and is robust against overlap. Compared to correlation-based frequency sweep keying, the time-of-flight error was reduced by approximately 75%. While the existing demodulators did not consider heterogeneous signals, the proposed method ignored approximately 99% of the OOK and PSK signals and approximately 79% of the FSK signals. The proposed method performed better than the existing methods and is expected to be used in various applications.

show abstract

“…[38] presented the developed an improved obstacle detection system employing an Arduino Mega 2560 embedded system development board and tools using an Arduino board and sensors. [39] developed a self-independent effective collision avoidance algorithm to detect and avoid obstacle in a vicinity using an ultrasonic sensor and controlling the movement of the vehicle with the view of reducing the original path. Saraswathi and colleagues [40] created an obstacle-detecting robot in 2015 using IR sensor, wheel encoder and controlled by an Arduino microcontroller.…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of an Improved Obstacle Avoidance Model for Land Mower

Alade¹,

Afonrinwo²

2022

IJITCS

View full text Add to dashboard Cite

The paper presents the design, simulation and evaluation of an improved obstacle avoidance model for the lawnmower. Studies has shown that there has been few or no work done has on the total minimization of computational time in obstacle avoidances of land mower. Sample image data were collected through a digital camera of high resolution. The obstacle avoidance model was designed using the Unified Modelling Language tools to model the autonomous system from the higher-level perspective of the structural composition of the system. Automata theory was used to model two major components of the system, which are the conversion of the colour image to binary and the obstacle recognizer components by neural network. The model was simulated using the and evaluated using the false acceptance rate and false rejection rate as performance metrics. Results showed that the model obtained False Acceptance Rate and False Rejection Rate values of 0.075 and 0.05 respectively. In addition, the efficiency of the proposed algorithm used in the present work shows that the time taken to avoid obstacles was faster when compared with another existing model.

show abstract

Low-cost ultrasonic based object detection and collision avoidance method for autonomous robots

Cited by 26 publications

References 22 publications

Wireless Power Supply Sensing Tags Based on Anti-Collision Algorithm for Sensing Systems

Wireless Power Supply Sensing Tags Based on Anti-Collision Algorithm for Sensing Systems

Improved Frequency Sweep Keying CDMA Using Faster R-CNN for Extended Ultrasonic Crosstalk Reduction

Design and Implementation of an Improved Obstacle Avoidance Model for Land Mower

Contact Info

Product

Resources

About