Autonomous driving paper index

A STUDY ON PERCEPTION OF AI AMONG YOUNG GENERATION AND ITS IMPACT ON EMPLOYMENT IN THOOTHUKUDI DISTRICT

2026-08-08 · International Journal of Computer Information Systems and Industrial Management Applications

self-driving carself-drivingperception

One-line summary

Artificial Intelligence (AI) is one of the most significant technological advancements in the modern world.

Engineering notes

Key topics: self-driving car, self-driving, perception. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Artificial Intelligence (AI) is one of the most significant technological advancements in the modern world. It refers to the capability of machines and computer systems to carry out tasks that typically require human intelligence, including learning, reasoning, problem-solving, decision-making, and understanding language. The idea of Artificial Intelligence was first introduced by John McCarthy in 1956.Since that time, AI has grown rapidly because of improvements in computer technology, the availability of large amounts of data, and the development of powerful algorithms. In recent years, Artificial Intelligence has become a key part of daily life. Many industries and organizations are now increasingly using AI technologies to boost efficiency and productivity.AI systems can process large volumes of data quickly and accurately, helping organizations make more informed decisions. Examples of AI applications in modern society include voice assistants, recommendation systems, self-driving cars, and intelligent robots. AI is widely applied across various sectors like healthcare, education, banking, manufacturing, transportation, and e-commerce. In healthcare, AI helps doctors make more accurate diagnoses and deliver better treatments. In banking and finance, it is used to identify fraudulent activities, manage risks, and enhance customer service. In education, AI tools support personalized learning and assist teachers in improving their teaching methods. Likewise, in manufacturing, AI-powered machines and robots help automate production, minimize human errors, and increase overall efficiency.

5.0Engineering value
7.0Research novelty
6.0Business relevance

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