A common problem in autonomous vehicles is that they require manually labeled 3D maps for safe navigation. Now MIT research breakthroughs will change this. Even on country roads, MIT systems can use GPS and sensor data for automated driving. Let's take a look at the relevant content.
The Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a framework called MapLite that allows autonomous vehicles to operate on roads where they never drive and lack 3D maps.
MapLite uses simple GPS data and a set of sensors that observe road conditions. These elements work together to enable the test vehicle to autopilot on multiple unpaved roads in Devens, Massachusetts. The vehicle is able to reliably detect more than 100 feet before.
The vehicle used by the team is the Toyota Prius, equipped with a range of laser radar (LiDAR) and IMU (Inertial Measurement Unit). Researchers at the Massachusetts Institute of Technology are planning to present a paper covering their systems at the International Conference on Robotics and Automation in May.
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