ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.00451
  4. Cited By
Detecting Drivable Area for Self-driving Cars: An Unsupervised Approach

Detecting Drivable Area for Self-driving Cars: An Unsupervised Approach

1 May 2017
Zi-yi Liu
Si-yu Yu
Tianlin Li
N. Zheng
ArXivPDFHTML

Papers citing "Detecting Drivable Area for Self-driving Cars: An Unsupervised Approach"

2 / 2 papers shown
Title
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera
  and Radar Sensors
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors
K. Kowol
Matthias Rottmann
S. Bracke
Hanno Gottschalk
UQCV
19
37
0
07 Oct 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
793
0
27 May 2015
1