Recently, Elon Musk said on Twitter that Tesla is about to update its driverless system Autopilot.
One of the most important is to improve the data processing of the radar system. The new unmanned system focuses on improving the processing power of the radar signal, so that it can better detect the old system before the ambient light, color or weather changes. An object that is difficult to identify.
Tesla's autopilot system was released last October. The system uses radar and camera, combined with image semantic segmentation to provide automatic unmanned functions such as lane or steering. This feature is available for most Tesla Model S and all Model X cars.
In May of this year, when a car owner used an unmanned system, it hit a towed trailer, causing the driver to die. Initial investigations revealed that under strong sunlight conditions, the driverless system failed to detect the white body of the towed trailer, so Autopilot failed to activate the brake system in time. The accident exposed the shortcomings of current algorithms and hardware technologies for driverless technology. Some professionals pointed out that the single-head camera used by the Model S has serious problems in the recognition of stereoscopic and large-area planar objects, the recognition interval limitation of millimeter-wave radar, and the trade-off and redundancy judgment of the integrated scene in extreme cases. Just this year, Tesla did not recognize the situation of black Santana in front of the country. At that time, people in the industry believed that there might be a blind spot in the sensor part of Tesla's head, which caused the vehicle to be unable to recognize obstacles within a certain angle range. The upcoming version of the system will improve the processing power of radar signals, making the system better able to handle these difficult to judge.
We know that Tesla has been building high-precision overpass maps, and this new version of Autopilo, based on the off-ramp feature, can handle highway overpass traffic problems. When the vehicle is about to reach the overpass, the Autopilot system can download map fragments, and the front camera and radar on the car monitor traffic conditions to ensure smooth roads. Then with a simple “turning†signal, the vehicle can automatically travel from one road to another. When the Autopilot software implements the Autosteer function, the owner can activate the "turn" signal to exit the road he is driving. At the same time, the more responsive "Traffic-Aware Cruise Control" was introduced in the beta program.
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