RadarMOTR is a transformer neural network based on MOTRv2 able to track multiple objects in Range-Doppler maps. Objects are first detected by an external detector based on CFAR & DBSCAN clustering.

Hard-coded text and messy conditionals are killing your codebase. Learn how to refactor your UI components for scalability.

Abstract: For automated vehicles, wide-ranging and real-time detection of the surrounding environment and accurate recognition of objects, including pedestrians, vehicles, and their movements, are ...

Say goodbye to source maps and compilation delays. By treating types as whitespace, modern runtimes are unlocking a “no-build” TypeScript that keeps stack traces accurate and workflows clean.

Abstract: Weakly supervised video object localization (WSVOL) allows locating object in videos using only global video tags such as object classes. State-of-art methods rely on multiple independent ...

This is the official implementation of DAROD paper (2022 IEEE Intelligent Vehicle Symposium). In this repository we provide an adaption of the Faster R-CNN architecture for object detection on ...