Predictive Driving in an Unstructured Scenario Using the Bundle Adjustment Algorithm

Volume: 29, Issue: 1, Pages: 342 - 352
Published: Jan 1, 2021
Abstract
In this article, the autonomous driving problem in an unstructured scene is addressed using a model predictive control (MPC) scheme. The lack of scene structure makes the sensing problem challenging, in particular when considered within a control loop. To circumvent this difficulty, the bundle adjustment (BA) algorithm from computer vision is used to detect obstacles and compute a sparse representation of the environment. In one of the main...
Paper Details
Title
Predictive Driving in an Unstructured Scenario Using the Bundle Adjustment Algorithm
Published Date
Jan 1, 2021
Volume
29
Issue
1
Pages
342 - 352
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.