![]() Since we are developing an L4 system in an area that we can map in advance, we are able to take advantage of the benefits HD maps offer. Some self-driving systems are striving to work anywhere, and since they cannot map the whole world, they are faced with the challenges of inferring details about the road from sensor data in real time. #Opendrive map softwareThis gives us the centimeter-level accuracy that many of our software modules demand. In contrast to geographical datasets such as OpenStreetMap’s, which often rely on satellite imagery, our HD maps are generated from high resolution LiDAR and camera data collected from the mapped area. It’s a database of all the lanes, the relationships between them, coordinates describing their boundaries and center-lines, as well as the locations of crosswalks, speed bumps, traffic signs, and traffic lights. Our integration between Carla and Apollo, including Carla towns converted to Apollo maps and the long-awaited Carla-Apollo bridge!Īs the name suggests, an HD map is a highly detailed description of a road network.Process of converting OpenDRIVE maps (a format used by many ADAS and AV companies, including Carla) to Apollo maps.HD maps (an essential component for most self-driving car stacks) and the current popular open source HD map formats.In part 1 of this series we introduced a bridge between the ubiquitous ROS framework, and the newer Apollo Cyber RT, which was created for the Apollo autonomous driving platform. In part 2, we are happy to open-source a bridge between the popular Carla simulation platform and Apollo. ![]()
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