Scenario-based simulation: Combining HD maps and real-world traffic data - atlatec

#artificialintelligence 

If you work in the ADAS/Autonomous Vehicles field, you are probably familiar with HD maps – virtual recreations of real-world roads including their 3D profile, driving rules, inter-connectivity of lanes etc. A lot of these HD maps go into the simulation domain, where car makers and suppliers leverage them to train new ADAS/AV systems or for verification/validation of features from those domains. The reason to use HD maps of real-world roads (rather than just generic, fictional routes created from scratch) is simple: In the end, you want your system to perform in the real world – so you want to optimize for real-world conditions as early as possible, starting in simulation. As we all know, the real world is nothing if not random, and you will encounter many situations you would rarely find in generic data sets. So far, so good: These HD maps can be used to properly train lane-keep assistance or lane-departure warning systems, validate speed limit sign detection and many other systems. However, a map only contains the static features of an environment – what about ADAS/AV features that are supposed to react to other traffic participants?

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found