Two dimension road following is a crucial task of vision navigation for mobile robots. Because road environments are usually complex, robust and continuous road following based on two-dimension image sequence is still a challenging task. This paper proposes a self-adaptive road following algorithm based on an improved graph model. Firstly, the mean shift algorithm embedded with edge confidence is used to partition the images into homogenous regions with precise boundary, and an improved graph model is constructed with these regions.

融合图切割和聚类算法的鲁棒自适应道路跟踪.pdf

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．