LCVSTP: LiDAR-Camera Fusion Simulation Platform
Explore how LiDAR geometry and camera observations can be synchronized, fused, and monitored for reliable surgical instrument tracking.
Open workspaceAccess cutting-edge demos, high-quality datasets, and powerful tools from our radar and multimodal sensing research.
Research applications
Discover simulations and games through one LabWeb-managed Studio. Each app clearly shows whether it is public or requires a Radar Lab account.
Explore how LiDAR geometry and camera observations can be synchronized, fused, and monitored for reliable surgical instrument tracking.
Open workspaceExplore video demonstrations, interactive tools, and tutorials showcasing our latest research in radar technology and intelligent sensing systems.
A novel RF-based system using mmWave radar to assess fall risk and detect falls in nursing facilities, providing privacy-preserving monitoring …
Play Flappy Bird controlled by a deep reinforcement learning agent trained with Deep Q-Networks. Watch the AI learn in real-time …
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Access high-quality, curated datasets from our research in mmWave radar, multimodal sensing, and machine learning for autonomous systems.
OpenCDA-MARL benchmark assets for cooperative autonomous intersection management, including two CARLA map packages, traffic recordings, and trained MARL model checkpoints.
Public HDF5 caches for camera-LiDAR cross-modal matching and targetless extrinsic calibration, derived from TUM Traffic / A9 r02_s01.
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