2022
DOI: 10.1142/s0218213022410056
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Artificial Intelligence in Cars: How Close Yet Far Are We from Fully Autonomous Vehicles?

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Cited by 3 publications
(2 citation statements)
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“…It is understood that all ADAS algorithms possess unique advantages and disadvantages, and the best choice of algorithms is defined by the requirement of the feature [41,46]. For most ADAS algorithms, maintaining consistency across all external scenarios is critical [47]. Following the critical analysis of the fusion architecture based on the switching tracker mechanism, it must be noted that by using algorithms like the TSR and the RTDE, we include certain shortcomings.…”
Section: Discussionmentioning
confidence: 99%
“…It is understood that all ADAS algorithms possess unique advantages and disadvantages, and the best choice of algorithms is defined by the requirement of the feature [41,46]. For most ADAS algorithms, maintaining consistency across all external scenarios is critical [47]. Following the critical analysis of the fusion architecture based on the switching tracker mechanism, it must be noted that by using algorithms like the TSR and the RTDE, we include certain shortcomings.…”
Section: Discussionmentioning
confidence: 99%
“…Many organizations use AI as a foundation to automate repetitive processes and to gather valuable data to make sense of information that will be useful for the decision-making process throughout all project phases. This makes an organization's operations run efficiently and allows business executives to make effective decisions (Palade & Deo, 2022). However, the main questions to be asked is, what do all business executives need to know about AI in order to build or grow an organization that is reliant on AI, and how much should they know about the advantages and constraints of AI in order to make use of it at its full capacity (Habbal et al, 2024).…”
Section: Introductionmentioning
confidence: 99%