Autonomous driving paper index
An Essay on Teaching and Learning Mathematics: Through the Lens of Artificial Intelligence, Music, and Sports
One-line summary
This essay is aimed at a wide audience: anyone who has engaged in learning or teaching math.
Engineering notes
Key topics: autonomous driving. 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
This essay is aimed at a wide audience: anyone who has engaged in learning or teaching math. It provides a unique perspective drawn from a mathematician’s interests in working with K-12 teachers, familiarity with artificial intelligence (AI), and amateur pursuits of learning to play an instrument and of learning a difficult sport. While I delve into these topics, no special background is needed in the slightest. In particular, I draw lessons from some failures in AI that reflect on why the conventional procedural approach to teaching and learning math fails many students. I also provide insight into how we learn and how competency and proficiency are best achieved in any field. I also discuss some very common misconceptions about learning math. Drawing on music and sports, I show why these misconceptions are so flawed, though firmly believed by many. More so, I characterize learning math as similar to learning a performance art in order to provide an alternative view to teaching and learning math even to those who are well schooled in the best pedagogical practices. I hope that this will strengthen their understanding of their teaching methods and provide them with additional insights possibly for use in discussions with others less convinced of their methods.
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