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MIT-AVT: Tesla Model 3


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00:00:00.000 | Currently, the Tesla fleet for the MIT Autonomous Vehicle Technology Study
00:00:04.320 | includes the Model S and the Model X.
00:00:06.960 | But we're here today in our first Model 3 that we're going to instrument and add to the study.
00:00:12.320 | It has the same sensor suite as the same autopilot hardware 2 in this vehicle as it does in the
00:00:18.960 | Model S and the Model X. And as far as we can tell, the compute resources and the algorithms
00:00:24.560 | performing the autonomous steering in this car is the same as in the Model S and the Model X.
00:00:29.680 | The Model 3 is a really interesting car to add to our study because it has the same kind of
00:00:34.960 | autonomous technology as does the Model S and the Model X, but is more affordable, therefore
00:00:41.200 | allowing a larger number of people to use this technology.
00:00:44.400 | However, on the instrumentation side, there's a few challenges.
00:00:47.920 | To instrument this vehicle, we first need to place our sensors and run our wires
00:00:52.960 | to our rider recording box. This box also requires power and can to function.
00:00:57.920 | Since this vehicle does not have an OBD2 port, we need to find other means of both powering
00:01:02.560 | our box as well as collecting CAN data.
00:01:04.880 | There are multiple methods for powering our rider recording box.
00:01:09.280 | One is to use external power from a battery.
00:01:12.320 | A second is to use a 12-volt auxiliary outlet, much like the cigarette outlet,
00:01:17.600 | in the center console to power it.
00:01:19.680 | A third method is to find the 12-volt battery source in this vehicle and run power directly
00:01:25.680 | from it so that we have constant power.
00:01:28.160 | Do you think we'll figure it out?
00:01:29.280 | Of course.
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