The cleaning efficiency is up to 14,000m²/h, and the cleaning width is up to 1.75 meters, working speed of the fan is 3000r/min, which can effectively clean all kinds of solid particulate dust, and achieve quality and efficiency.
Relying on the mature autonomous driving hardware and software, it can meet the driving safety in the morning and evening peak hours, effectively avoid the sweeper getting stuck in various obstacles in various environments.
The road edge detection based on high- precision LiDAR can effectively ensure that the brush is always close to the road edge for cleaning when working on the road, and will not miss the corner garbage.
Start the mechanical dust vibration function with 30 seconds after power cut-off to remove the dust attached to the surface of the filter element in the dry dust removal chamber, and effectively improve the cleaning quality of the machine.
Founded in 2018, Shanghai Ecar Technology Co., Ltd. located in
Jiading District, Shanghai and
boasting the first dedicated automatic low-speed level 4 autonomous vehicle production line in
China, has an annual production capacity of 10,000 vehicles.
Ecar Tech is an international leading company specialized in intelligent digital vehicle (IDV)
technology. With the core technology of skateboard chassis based on "drive-by-wire,
intelligence, integrated die casting", it builds up an ADC product life pool (intelligent design
engine + digital intelligent manufacturing + cloud data mining) to link up the customer's needs
to product development, intelligent manufacturing, and intelligent operation & maintenance, thus
facilitating the management of information flow, logistics, and knowledge flow in the whole
product life cycle. Through cooperation with other institutions specialized in Al and
technologies, it enables the large- scale commercial application of autonomous vehicles in the
fields of express delivery, retails, logistics, security patrol, cleaning, etc.
Multi-sensing incorporates cameras, liDAR, millimeter-wave radar and inertial motion sensors. The delay of velocity sensing models is less than 10 ms. In terms of accuracy, the detection accuracy of our system can reach 99%, and the contour error detection of the object is less than 5cm. The perceptual results not only come from direct detection, but also include a deep understanding of the system's surrounding objects and scenes.
Multi-sensing incorporates cameras, liDAR, millimeter-wave radar and inertial motion sensors. The delay of velocity sensing models is less than 10 ms. In terms of accuracy, the detection accuracy of our system can reach 99%, and the contour error detection of the object is less than 5cm. The perceptual results not only come from direct detection, but also include a deep understanding of the system's surrounding objects and scenes.
Dual mode control system, namely remote prompt model and remote monitoring model. With the remote cue model, our autonomous vehicles can be supported by a remote control system to help them make decisions. When an extreme situation occurs with a small probability, the remote control model can completely take over the control of the autonomous vehicle remotely to ensure driving safety.
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