It is not easy for autopilots to pay attention to road conditions, understand traffic signs, detect and classify objects, perceive speed/trajectories, and other vehicles—and more importantly, it must be able to locate itself on the map to know exactly where to drive. Destination.
Highly automated vehicles must rely on many sensors when tracking their surroundings, including cameras, radar, ultrasound, GPS antennas, and Lidar components that use optical pulse ranging. Each sensor has its advantages and disadvantages.
Figure 1: A series of sensor technologies installed on a vehicle
Vision camera blind spot detection, side view (no back-illuminated mirror car), driving recorder, reversing auxiliary stereo camera: Identify LDWS and sign direction/distance 3D camera gesture recognition on-site detection, driving monitoring night vision camera detection pedestrian/animal LIDAR 3D Surrounding map ultrasonic parking, pedestrian & obstacle detection dead reckoning sensor ranging short-range radar front & rear long-distance radar automatic cruise control
We should first figure out how to best fill the defects inherent in the sensor. The second step may be more important, developing the best strategy, combining different data streams so that critical information is not lost. It is already a problem for each sensor to transmit data at its own picture update rate, and sensor fusion is more complicated—since some sensors provide raw data, while others provide their own object data answers.
In 2017, we saw a series of advances in sensory technology. Phil Magney, founder and head of VSI Labs, said: "Perception is a major area of ​​the autonomous vehicle (AV) software stack, and there are many innovations in this area."
Technology companies, Tier 1 suppliers and OEMs have been eager to acquire sensor technologies that their own companies lack or cannot develop on their own. At the same time, a number of sensory sensor startups have emerged over the past two years, many of which focus on the autonomous vehicle market that is still in its infancy.
Intel acquires MobileyeThe biggest acquisition in the automotive industry in 2017 was Intel's purchase of Mobileye for $15.3 billion.
Since Mobileye has taken a prominent position in the automotive vision of Advanced Driver Assistance Systems (ADAS) and autonomous vehicles, the acquisition of Mobileye has enabled Intel to maintain a favorable position in the autonomous driving competition.
Especially considering that vision is the only indispensable sensor technology in autonomous vehicles, this acquisition is even more important. Intel said it intends to combine Mobileye's "computer vision, sensing, convergence, map construction and driving strategies" with Intel's "open computing platform."
Magney described the camera as a "must-have sensor," explaining that the ability to capture images at high resolutions allows the camera to classify objects more efficiently. The current camera also supports color display. So what about the weakness? Magney added: "The depth of the camera is not as good as the light."
Posh Plus,Posh Plus Xl Pod Vape,Posh Plus Disposable Vape,Posh Plus Disposable Pod Device
Shenzhen Zpal Technology Co.,Ltd , https://www.zpal-vape.com