sharath573/Object-Recognition-for-Autonomous-Driving-System-MATLAB-project

This project is a historical artifact from the 2017-era transition between traditional computer vision (SVM/HOG) and deep learning (YOLOv1/v2). With only 30 stars and 4 forks over a 7-year period, it lacks any meaningful community traction or maintenance. The use of MATLAB significantly limits its utility in modern production autonomous vehicle (AV) stacks, which almost exclusively use C++ and Python (PyTorch/TensorFlow). The 'memory map' technique described for inter-frame information was a common research area at the time but has been entirely superseded by modern tracking-by-detection algorithms (like ByteTrack), LSTMs, and more recently, Vision Transformers (ViT) and 4D spatio-temporal networks. Frontier labs like Waymo and Tesla, as well as open-source projects like Autoware or Apollo, provide production-grade capabilities that make this repository obsolete. There is no moat here; the code serves as a basic pedagogical reference rather than a competitive tool.