Tiny Obstacle Discovery by Occlusion-Aware Multilayer Regression

11/17/2021
by   Feng Xue, et al.
0

Edges are the fundamental visual element for discovering tiny obstacles using a monocular camera. Nevertheless, tiny obstacles often have weak and inconsistent edge cues due to various properties such as small size and similar appearance to the free space, making it hard to capture them. ...

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

page 10

page 12

page 14

research
04/23/2019

A Novel Multi-layer Framework for Tiny Obstacle Discovery

For tiny obstacle discovery in a monocular image, edge is a fundamental ...
research
08/14/2017

Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots

Safety is paramount for mobile robotic platforms such as self-driving ca...
research
12/20/2016

Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling

The detection of small road hazards, such as lost cargo, is a vital capa...
research
08/05/2017

Grid obstacle representation of graphs

The grid obstacle representation of a graph G=(V,E) is an injective func...
research
05/23/2020

An Intelligent Obstacle and Edge Recognition System using Bug Algorithm

Obstacle avoidance is an important task in robotics as the autonomous ro...
research
12/25/2020

Detecting Road Obstacles by Erasing Them

Vehicles can encounter a myriad of obstacles on the road, and it is not ...
research
03/17/2018

MergeNet: A Deep Net Architecture for Small Obstacle Discovery

We present here, a novel network architecture called MergeNet for discov...

Please sign up or login with your details

Forgot password? Click here to reset