A simple CoMP transmission method employing vehicle position information for taxi radio systems

2017 ◽  
Author(s):  
Naoki Kurihara ◽  
Keisuke Ujihara ◽  
Fumiaki Maehara
Keyword(s):  
Transmission Method ◽  
Position Information ◽  
Radio Systems ◽  
Vehicle Position

The Untethered Remotely Operated Vehicle PICASSO-1 and Its Deployment From Chartered Dive Vessels for Deep Sea Surveys Off Okinawa, Japan, and Osprey Reef, Coral Sea, Australia

2012 ◽  
Vol 46 (4) ◽  
pp. 20-32 ◽  
Author(s):  
Dhugal J. Lindsay ◽  
Hiroshi Yoshida ◽  
Takayuki Uemura ◽  
Hiroyuki Yamamoto ◽  
Shojiro Ishibashi ◽  
...  
Keyword(s):  
Earth Science ◽  
Low Cost ◽  
Reef Coral ◽  
Vital Statistics ◽  
Remotely Operated Vehicle ◽  
Position Information ◽  
Coral Sea ◽  
Information Depth ◽  
Vehicle Position ◽  
And Control

AbstractThe untethered remotely operated vehicle (uROV) PICASSO-1, which is controlled in real time from a surface support vessel via a Φ0.9 mm fiber optic cable, is capable of dives to 1,000-m depth at a duration of up to 6 h and yet is deployable from ships of sizes as low as 17 tonnes. The vehicle was developed at the Japan Agency for Marine-Earth Science and Technology, has carried out 63 dives to date, and is now operable by a team of four biologists and one technician. PICASSO-1 can collect video (HDTV × 1, NTSC × 3) and environmental information (depth, temperature, salinity, dissolved oxygen concentration, fluorescence [chlorophyll a proxy], turbidity) concurrently, and this is output with vehicle heading, camera zoom, and other vital statistics via Ethernet. Acoustically obtained vehicle position information, deck and control room video, and sound data streams are also output via Ethernet, and the whole dive is recorded in a synchronous fashion on a logging/playback system that enables dives to be re-enacted in their entirety to facilitate analyses back in the laboratory. Operations have been successfully carried out overseas using a chartered dive boat, and the system represents a leap forward for exploration of the oceans to significant depths but at relatively low cost and with no loss in data quality.

Study of Reconstruction of Vehicle-Pedestrian Collision Accident Based on Computer Simulation

2013 ◽  
Vol 441 ◽  
pp. 448-451 ◽  
Author(s):  
Gong Yu Pan ◽  
Shu Zhang ◽  
Lu Sheng Zhu
Keyword(s):  
Traffic Accident ◽  
Detection Method ◽  
Position Information ◽  
Vehicle Accident ◽  
Pedestrian Injury ◽  
Pedestrian Accident ◽  
Vehicle Position ◽  
Accident Detection ◽  
Car Accident ◽  
Real Vehicle

During the traditional traffic accident handling, the position information of vehicle and pedestrian is only considered and the information of pedestrian injury is often neglected. In order to improve the reliability of pedestrian-vehicle accident detection, this paper proposes a car accident detection method based on integrated information of vehicle position and pedestrian injury. According to a real vehicle-pedestrian accident, it is proved the proposed method is more effective on accident detection than traditional method.

scholarly journals Vehicle Text Data Compression and Transmission Method Based on Maximum Entropy Neural Network and Optimized Huffman Encoding Algorithms

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Jingfeng Yang ◽  
Zhenkun Zhang ◽  
Nanfeng Zhang ◽  
Ming Li ◽  
Yanwei Zheng ◽  
...  
Keyword(s):  
Neural Network ◽  
Data Compression ◽  
Maximum Entropy ◽  
Data Transmission ◽  
Maximum Entropy Principle ◽  
Transmission Method ◽  
Position Information ◽  
Huffman Encoding ◽  
Text Information ◽  
Actual Operation

Because of the continuous progress of vehicle hardware, the condition where the vehicle cannot load a complex algorithm no longer exists. At the same time, with the progress of vehicle hardware, the number of texts shows exponential growth in actual operation. In order to optimize the efficiency of mass data transmission in actual operation, this paper presented the text information (including position information) of the maximum entropy principle of a neural network probability prediction model combined with the optimized Huffman encoding algorithm, optimization from the exchange of data to data compression, transmission, and decompression of the whole process. The test results show that the text type vehicle information based on compressed algorithm to optimize the algorithm of data compression and transmission can effectively realize data compression. It can also achieve a higher compression rate and data transmission integrity, and after decompression it can basically guarantee no distortion. The method proposed in this paper is of great significance for improving the transmission efficiency of vehicle text information, improving the interpretability and integrity of text information, realizing vehicle monitoring, and grasping real-time traffic conditions.

Design of Communication Module Based on GPS/GPRS

2014 ◽  
Vol 536-537 ◽  
pp. 711-714
Author(s):  
Ming Jie Ge ◽  
Ping Jiang ◽  
Wei Shen ◽  
Yuan Yuan
Keyword(s):  
Wireless Communication ◽  
Traffic Congestion ◽  
Gps Data ◽  
Position Information ◽  
Related Data ◽  
Vehicle Data ◽  
Communication Module ◽  
Vehicle Position ◽  
Wireless Module ◽  
The City

With the number of the city vehicle increasing, traffic congestion has become a big problem. Thus the demand for vehicle accurate monitoring and scheduling is increasingly urgent. A wireless communication module based on GPS/GPRS has been designed in this paper, which is used to transmit the vehicle position information and other related data to the server wirelessly by GPRS. The STM8S207 microcontroller produced by the STMicroelectronics is used as the controller which is adopted as the communication module. The NEO-6M module and the wireless module MG323 with embedded TCP/UDP protocol are combined to acquire and monitor the vehicle data. The communication module designed in this paper can ensure the accuracy of GPS data and the real-time of GPRS transmission.

Sign in / Sign up

Export Citation Format

Share Document