Artificial intelligence and autonomous vehicles
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Artificial intelligence and autonomous vehicles
Artificial intelligence (AI) plays a significant role in the development of autonomous vehicles. Autonomous vehicles rely on a variety of AI techniques, such as computer vision, machine learning, and natural language processing, to perceive the environment, make decisions, and interact with passengers.
Computer vision enables autonomous vehicles to detect and recognize objects, such as pedestrians, other vehicles, and traffic signs. Machine learning algorithms allow autonomous vehicles to learn from experience and improve their performance over time. Natural language processing enables passengers to interact with autonomous vehicles using voice commands and natural language.
Autonomous vehicles also rely on a variety of sensors, such as cameras, lidar, and radar, to gather information about the environment. This information is processed by onboard computers, which use AI techniques to interpret the data and make decisions about how to navigate the vehicle.
Overall, AI is critical to the development of autonomous vehicles and will continue to play a significant role in their evolution and adoption.
Artificial intelligence and autonomous vehicles
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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