DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.
Li LiKhalid N. IsmailHubert P. H. ShumToby P. BreckonPublished in: 3DV (2021)
Keyphrases
- multi modal
- high fidelity
- high resolution
- autonomous driving
- stereo vision
- lidar data
- aerial imagery
- grand challenge
- high quality
- multi modality
- medical image compression
- real time
- cross modal
- image annotation
- high dimensional
- computer vision
- remote sensing
- video conferencing
- uni modal
- audio visual
- depth map
- machine learning
- urban areas
- image data
- image segmentation