Daniel W. Carruth
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Daniel W. Carruth trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Daniel W. Carruth overall
Papers from Daniel W. Carruth's perspective
Ordered by how strongly the researchers Daniel W. Carruth trusts endorse each paper. Same corpus, a different order for every researcher.
- 3D is here: Point Cloud Library (PCL)
- Influences of weather phenomena on automotive laser radar systems
- Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments
- Automotive Radar and Lidar Systems for Next Generation Driver Assistance Functions
- Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration
- Towards 3D Point cloud based object maps for household environments
- Intel threading building blocks - outfitting C++ for multi-core processor parallelism
- Autonomous door opening and plugging in with a personal robot
- Point feature extraction on 3D range scans taking into account object boundaries (IEEE International Conference on Robotics and Automation)
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Predicting the Influence of Rain on LIDAR in ADAS (2019) — 204 citations
- Development and validation of a questionnaire to assess pedestrian receptivity toward fully autonomous vehicles (2017) — 234 citations