"TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant ..."

Grafika Jati et al. (2024)

> Home

Details and statistics

DOI: 10.1145/3649153.3649201

access: closed

type: Conference or Workshop Paper

metadata version: 2024-07-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cf/JatiMBBA24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cf/JatiMBBA24
Grafika Jati, Martin Molan, Francesco Barchi, Andrea Bartolini, Andrea Acquaviva:
TinyLid: a RISC-V accelerated Neural Network For LiDAR Contaminant Classification in Autonomous Vehicle. CF 2024

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.