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Alpha Drive: Quality Assurance Tools for Embodied AI

app.alphadrive.ai · 760 words · saved by 1 readers

The main goal of the CARLA Autonomous Driving Leaderboard is to evaluate the driving proficiency of autonomous agents in realistic traffic situations. The leaderboard serves as an open platform for the community to perform fair and reproducible evaluations, simplifying the comparison between different approaches. Autonomous agents have to drive through a set of predefined routes. For each route, agents will be initialized at a starting point and will be directed to drive to a destination point, provided with a description of the route. Routes will happen in a variety of areas, including freeways, urban scenes, and residential districts. These traffic situations are based on the NHTSA typology. The full list of traffic situations used in the leaderboard can be reviewed here. Please visit the carla.org site for more information. In addition to the sensors available on the SENSORS track, agents can request to access an HD map . The HD map is provided as an OpenDRIVE file encoded in a XML

It looks like you are passing several store enhancers to createStore(). This is not supported. Instead, compose them together to a single function. You may not call store.subscribe() while the reducer is executing. If you would like to be notified after the store has been updated, subscribe from a component and invoke store.getState() in the callback to access the latest state. See https://redux.js.org/api-reference/store#subscribelistener for more details. You may not unsubscribe from a store listener while the reducer is executing. See https://redux.js.org/api-reference/store#subscribelisten

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