I built marshmallow castles in Google’s new AI-world generator

Starting Thursday, Google AI Ultra subscribers in the U.S. can play around with Project Genie, which is powered by a ...
GitHub

RadarMOTR: Multi-Object Tracking with Transformers on Range-Doppler Maps

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.
TMCnet

The Developer's Guide to Reducing Technical Debt in UI Code

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

Machine Learning-Based Object Movement Prediction Method Using Occupancy Grid Maps from Roadside Sensor

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 ...
InfoWorld

TypeScript levels up with type stripping

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.
GitHub

DAROD - A Deep Automotive Radar Object Detector on Range-Doppler maps

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 ...
IEEE

MIM: High-Definition Maps Incorporated Multi-View 3D Object Detection

Abstract: 3D object detection has aroused increasing interest as a crucial component of autonomous driving systems. While recent works have explored various multi-modal fusion methods to enhance ...