Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313483424> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W4313483424 abstract "There are many artificial intelligence algorithms for autonomous driving, but directly installing these algorithms on vehicles is unrealistic and expensive. At the same time, many of these algorithms need an environment to train and optimize. Simulation is a valuable and meaningful solution with training and testing functions, and it can say that simulation is a critical link in the autonomous driving world. There are also many different applications or systems of simulation from companies or academies such as SVL and Carla. These simulators flaunt that they have the closest real-world simulation, but their environment objects, such as pedestrians and other vehicles around the agent-vehicle, are already fixed programmed. They can only move along the pre-setting trajectory, or random numbers determine their movements. What is the situation when all environmental objects are also installed by Artificial Intelligence, or their behaviors are like real people or natural reactions of other drivers? This problem is a blind spot for most of the simulation applications, or these applications cannot be easy to solve this problem. The Neurorobotics Platform from the TUM team of Prof. Alois Knoll has the idea about Engines and Transceiver Functions to solve the multi-agents problem. This report will start with a little research on the Neurorobotics Platform and analyze the potential and possibility of developing a new simulator to achieve the true real-world simulation goal. Then based on the NRP-Core Platform, this initial development aims to construct an initial demo experiment. The consist of this report starts with the basic knowledge of NRP-Core and its installation, then focus on the explanation of the necessary components for a simulation experiment, at last, about the details of constructions for the autonomous driving system, which is integrated object detection and autonomous control." @default.
- W4313483424 created "2023-01-06" @default.
- W4313483424 creator A5012772285 @default.
- W4313483424 creator A5013081195 @default.
- W4313483424 creator A5021520609 @default.
- W4313483424 creator A5063781430 @default.
- W4313483424 date "2022-12-30" @default.
- W4313483424 modified "2023-09-30" @default.
- W4313483424 title "Autonomous Driving Simulator based on Neurorobotics Platform" @default.
- W4313483424 doi "https://doi.org/10.48550/arxiv.2301.00089" @default.
- W4313483424 hasPublicationYear "2022" @default.
- W4313483424 type Work @default.
- W4313483424 citedByCount "0" @default.
- W4313483424 crossrefType "posted-content" @default.
- W4313483424 hasAuthorship W4313483424A5012772285 @default.
- W4313483424 hasAuthorship W4313483424A5013081195 @default.
- W4313483424 hasAuthorship W4313483424A5021520609 @default.
- W4313483424 hasAuthorship W4313483424A5063781430 @default.
- W4313483424 hasBestOaLocation W43134834241 @default.
- W4313483424 hasConcept C107457646 @default.
- W4313483424 hasConcept C111919701 @default.
- W4313483424 hasConcept C121332964 @default.
- W4313483424 hasConcept C1276947 @default.
- W4313483424 hasConcept C13662910 @default.
- W4313483424 hasConcept C146778888 @default.
- W4313483424 hasConcept C154945302 @default.
- W4313483424 hasConcept C199360897 @default.
- W4313483424 hasConcept C2164484 @default.
- W4313483424 hasConcept C2780689630 @default.
- W4313483424 hasConcept C2780801425 @default.
- W4313483424 hasConcept C41008148 @default.
- W4313483424 hasConcept C44154836 @default.
- W4313483424 hasConcept C76155785 @default.
- W4313483424 hasConcept C79403827 @default.
- W4313483424 hasConceptScore W4313483424C107457646 @default.
- W4313483424 hasConceptScore W4313483424C111919701 @default.
- W4313483424 hasConceptScore W4313483424C121332964 @default.
- W4313483424 hasConceptScore W4313483424C1276947 @default.
- W4313483424 hasConceptScore W4313483424C13662910 @default.
- W4313483424 hasConceptScore W4313483424C146778888 @default.
- W4313483424 hasConceptScore W4313483424C154945302 @default.
- W4313483424 hasConceptScore W4313483424C199360897 @default.
- W4313483424 hasConceptScore W4313483424C2164484 @default.
- W4313483424 hasConceptScore W4313483424C2780689630 @default.
- W4313483424 hasConceptScore W4313483424C2780801425 @default.
- W4313483424 hasConceptScore W4313483424C41008148 @default.
- W4313483424 hasConceptScore W4313483424C44154836 @default.
- W4313483424 hasConceptScore W4313483424C76155785 @default.
- W4313483424 hasConceptScore W4313483424C79403827 @default.
- W4313483424 hasLocation W43134834241 @default.
- W4313483424 hasOpenAccess W4313483424 @default.
- W4313483424 hasPrimaryLocation W43134834241 @default.
- W4313483424 hasRelatedWork W1982039099 @default.
- W4313483424 hasRelatedWork W1986538101 @default.
- W4313483424 hasRelatedWork W2087502340 @default.
- W4313483424 hasRelatedWork W2258033839 @default.
- W4313483424 hasRelatedWork W2352702214 @default.
- W4313483424 hasRelatedWork W2729278954 @default.
- W4313483424 hasRelatedWork W2956837683 @default.
- W4313483424 hasRelatedWork W3011563258 @default.
- W4313483424 hasRelatedWork W3107474891 @default.
- W4313483424 hasRelatedWork W564555881 @default.
- W4313483424 isParatext "false" @default.
- W4313483424 isRetracted "false" @default.
- W4313483424 workType "article" @default.