<ul data-eligibleForWebStory="false"><li>Researchers are working on addressing the limitations of autonomous cars relying on high-definition maps by predicting these elements from onboard sensors and reasoning about their relationships with traffic elements.</li><li>A new approach has been proposed to construct high-definition maps online more coherently utilizing standard-definition maps and advanced network architecture.</li><li>The proposed method focuses on predicting lane segments, corresponding topology, and road boundaries, using prior map information represented by commonly available standard-definition maps.</li><li>Experimental evaluation shows that this approach surpasses previous methods significantly, emphasizing the advantages of this modeling scheme for road topology estimation.</li></ul>

Coherent Online Road Topology Estimation and Reasoning with Standard-Definition Maps

Discover more