A Tesla is happy to slam into a parked emergency vehicle at full speed, as has been demonstrated several times; it's not surprising they don't stop for trees either.
A Tesla is happy to slam into a parked emergency vehicle at full speed, as has been demonstrated several times; it's not surprising they don't stop for trees either.
The car it braked for was also in motion, or recently in motion, right?
I took a look at how Subaru Eyesight works. It uses a dual camera system to identify a vehicle ahead and apply braking if it slows down, pedestrians and other specific patterns. Some of it is limited to a 19mph closing difference (surprise).
So the statement above that “mine emergency brakes with objects ahead at any speed” is, unsurprisingly, incorrect.
It doesn’t react to any object and would probably happily hit a tree under the right conditions, or a parked car. Happy to be proven wrong with a demonstration video of the car at full speed.
Source: own a Subaru, have driven it at a cardboard box in the middle of the street, and have had it slam on the brakes. Have also had it slam on the brakes when swerved into my lane, saving me from an accident. So... worth it.
Have you tested yours again a stationary emergency vehicle or a tree? Otherwise there isn’t much to discuss here.
Here's an explanation of why written on here a long time ago by @chowells: https://news.ycombinator.com/item?id=16239612
This user wrote:
To add even more detail, as there still appears to be a lot of confusion:
The radar systems in these vehicles send out a radio pulse in a broad approximate-cone forward. They get bounces back from everything that reflects radio in front of them. Distance from the object is calculated by time between pulse and response. Speed towards/away from the object is calculated from Doppler shift of the radio frequency.
There are two main things that these systems can't detect.
1. Speed of the object perpendicular to the direction of radio wave travel.
2. Location of the object within the approximate-cone the radio pulse travels in.
Note that thanks to the second, you can't calculate the first with higher-level object tracking, either.
So the data you get back is a list of (same-direction velocity component, distance) pairs. There's no way to distinguish between stationary objects in the road and stationary objects above the road, to the side of the road, or even the surface of the road itself.
Radar just doesn't provide the directional information necessary to handle obstacle detection safely.