Performance of LiDAR object detection deep learning architectures based on artificially generated point cloud data from CARLA simulator.
Daniel DworakFilip CiepielaJakub DerbiszIzzat IzzatMateusz KomorkiewiczMateusz WójcikPublished in: MMAR (2019)
Keyphrases
- artificially generated
- deep learning
- point cloud data
- point cloud
- object detection
- hough transform
- unsupervised learning
- real world
- machine learning
- unsupervised feature learning
- structure from motion
- object class
- object categories
- computer vision
- mental models
- weakly supervised
- point sets
- multi class
- object recognition
- data mining
- text mining
- ground truth
- feature vectors
- object segmentation
- face recognition