Learning-based methods of perception and navigation for ground vehicles in unstructured environments: A review
DC Guastella, G Muscato - Sensors, 2020 - mdpi.com
The problem of autonomous navigation of a ground vehicle in unstructured environments is
both challenging and crucial for the deployment of this type of vehicle in real-world …
both challenging and crucial for the deployment of this type of vehicle in real-world …
Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and map**
We propose a framework for tightly-coupled lidar inertial odometry via smoothing and
map**, LIO-SAM, that achieves highly accurate, real-time mobile robot trajectory …
map**, LIO-SAM, that achieves highly accurate, real-time mobile robot trajectory …
A sim-to-real pipeline for deep reinforcement learning for autonomous robot navigation in cluttered rough terrain
Robots that autonomously navigate real-world 3D cluttered environments need to safely
traverse terrain with abrupt changes in surface normals and elevations. In this letter, we …
traverse terrain with abrupt changes in surface normals and elevations. In this letter, we …
[PDF][PDF] A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.
Understanding the terrain in the upcoming path of a ground robot is one of the most
challenging problems in field robotics. Terrain and traversability analysis is a …
challenging problems in field robotics. Terrain and traversability analysis is a …
Autonomous Driving in Unstructured Environments: How Far Have We Come?
Bayesian spatial kernel smoothing for scalable dense semantic map**
This article develops a Bayesian continuous 3D semantic occupancy map from noisy point
clouds by generalizing the Bayesian kernel inference model for building occupancy maps, a …
clouds by generalizing the Bayesian kernel inference model for building occupancy maps, a …
Efficient anytime clf reactive planning system for a bipedal robot on undulating terrain
JK Huang, JW Grizzle - IEEE Transactions on Robotics, 2023 - ieeexplore.ieee.org
We propose and experimentally demonstrate a reactive planning system for bipedal robots
on unexplored, challenging terrain. The system includes: a multilayer local map for …
on unexplored, challenging terrain. The system includes: a multilayer local map for …
Putn: A plane-fitting based uneven terrain navigation framework
Z Jian, Z Lu, X Zhou, B Lan, A ** for mobile robots
Generating an accurate and continuous semantic occupancy map is a key component of
autonomous robotics. Most existing continuous semantic occupancy map** methods …
autonomous robotics. Most existing continuous semantic occupancy map** methods …