Independent research and development of driverless cars next year driving test

Independent research and development of driverless cars next year driving test Driverless cars are getting closer to us. From the conference held by the National Natural Science Foundation of China, it was learned that China’s self-developed driverless car will be tested from Beijing to Tianjin next year, and will be tested from Beijing to Shenzhen in 2015.

From October 31 to November 1 this year, more than a dozen unmanned teams from across the country will gather in Wengniute Banner, Chifeng City, Inner Mongolia to participate in the 4th China Smart Car Future Challenge.

Driverless cars travel autonomously through a series of processes such as environmental awareness, behavior processing, and execution control, and they integrate GPS, ultrasonic radar, and a variety of sensors and other high technologies. In 2008, the National Natural Science Foundation of China set up a major research program on "cognitive computing of visual and auditory information." One of its goals and tasks is to integrate basic scientific research results such as human visual perception and cognitive mechanism, and to develop natural environment awareness and intelligence. Driverless Vehicle Verification Platform for Behavioral Decision Making. According to reports, the "China Smart Car Future Challenge" is precisely the demonstration and verification of the results of this research project. It has now been held three times.

Academician Zheng Nanning, head of the Xi’an University of Communications and the “Cognitive Computing of Visual and Auditory Information” major project group leader, introduced that the R&D of unmanned vehicles in China has broken through a series of key technologies, but there is still a gap compared to the world advanced level. . As China's road traffic conditions are more complex, there are more factors to consider when solving scientific problems.

Extensive Reading In 2040, it may not be necessary to have a driver's license. The automotive intelligence is developing rapidly. With Google’s driverless cars approved in the United States, traditional auto giants such as Audi and BMW have invested heavily in the development of the next generation of driverless concept vehicles.

The Institute of Electrical and Electronics Engineers (IEEE) boldly predicted in a report in early October that by 2040, 75% of the world’s total cars will be unmanned cars, and the driver’s license will become obsolete.

No traffic accident No traffic jam with radar instead of traffic lights The IEEE said that when the road is full of driverless cars, traffic lights such as traffic lights are no longer necessary.

Elbert Bruji, a senior IEEE member of the Institute of Computer Engineering at the University of Parma in Italy, said that at the time of the crossroads, various sensors, cameras, and radar systems will be installed to monitor and control traffic flow in real time to help avoid crashes and make the road surface. The traffic flow is more efficient.

Azim Escandalia, chairman of the IEEE Intelligent Systems Research Center, said that in the new traffic flow, there will be more and more autopilots, which will make travel safer and faster, while both autopilot and traditional driving The differences will also become smaller and smaller, and traditional driving will become more autonomous.

Brugish stated that "by 2040, it is entirely possible that the speed limit will increase to 160 kilometers per hour."

Sharing Automotive Services Conveniently Unable to Drive According to IEEE, in the future, programs will be shared among driverless vehicles. A simple and conceivable scenario is when a driverless car comes in, picks you up, takes you to your destination, and then picks up a user.

"Today, 90% of cars are parked in parking lots. In the future, sharing car services will become a trend that will be more and more economical." Brugge explained.

Sharing programs between unmanned vehicles allows many older people, disabled people and the like who couldn’t drive before to get into the car.

Whether the biggest obstacle drivers and passengers can be confident that unmanned vehicles can bring about changes in the transportation system, the acceptance of drivers and passengers will be the biggest obstacle to the popularity of unmanned vehicles.

"Drivers and passengers will hesitate. They are not yet confident in technology and are not willing to give control to cars." IEEE member Jeffrey Miller, professor of computer science at the University of Alaska, said that now, car manufacturers are already The car has added various automatic functions, such as parallel parking assistance, anti-sleep alarm, etc., to help people get used to the automatic driving technology.

Rebar Mesh Welding Machine

Steel wire welding machine

Steel wire welding machine wire drawing machine adopts servo motor wire drawing device to make wire drawing size more standard and accurate.
Variety of weldable mesh.
Zonal grid adjustment related parts are adjustable, by the adjustment of the grid microcomputer control, can set up different grids.

Performance characteristics of steel wire welding machine: the length of warp and weft wire of tunnel support network welding machine are pre-cut by straight cutting machine. The warp is manually placed to the feeding mechanism and automatically entered by the servo feeding trolley without manual placement.
The weft wire is manually placed into the discharging device by the turntable stripper and dropped by a single one.
The welding system adopts pulse triggered thyristor with 8-way voltage regulation, and 8-way output can be combined at will, so as to reduce the impact on power transformer and effectively improve efficiency.
The machine power system is divided into pneumatic type and mechanical type.
The whole machine adopts PLC centralized control. The touch screen is the external data input part. All parameters can be input by the touch screen.
Rebar mesh welding machine

Wire Mesh Welding Machine,Fence Mesh Welding Machine,Rebar Mesh Welding Line,Wire Butt Welding Machine

Shandong Luteng Building Equipment Co., Ltd. , https://www.lutengmachinery.com