Learning Convolutional Filters for Interest Point Detection
Exploration and Mapping with Autonomous Robot Teams
Inference on networks of mixtures for robust robot mapping (TO APPEAR)
Multi-sensor ATTenuation Estimation (MATTE): Signal-strength prediction for teams of robots
Variable reordering strategies for SLAM
DART: A Particle-based Method for Generating Easy-to-Follow Directions
IPJC: The Incremental Posterior Joint Compatibility Test for Fast Feature Cloud Matching
Gaussian Process for Lens Distortion Modeling
Progress towards multi-robot reconnaissance and the MAGIC 2010 Competition
Inference on networks of mixtures for robust robot mapping
A Hands-Off, Multi-Robot Display for Communicating Situation Awareness to Operators
Robot Localization Using Overhead Camera and LEDs
Iterative Path Optimization for Practical Robot Planning
Occupancy Grid Rasterization in Large Environments for Teams of Robots
Positive and Negative Obstacle Detection using the HLD Classifier
AprilTag: A robust and flexible visual fiducial system
On computing the average orientation of vectors and lines
Structure Tensors for General Purpose LIDAR Feature Extraction
A General Purpose Feature Extractor for Light Detection and Ranging Data
Coordinating a Team of Robots for Urban Reconnaisance
A High-rate, Heterogeneous Data Set from the DARPA Urban Challenge
Graph-based Segmentation for Colored 3D Laser Point Clouds
Automated Safety Inspection of Grade Crossings
A Passive Solution to the Sensor Synchronization Problem
LCM: Lightweight Communications and Marshalling
Extracting general-purpose features from LIDAR data
AprilTag: A robust and flexible multi-purpose fiducial system
Recognizing Places using Spectrally Clustered Local Matches
Real-Time Correlative Scan Matching
Evaluating the Performance of Map Optimization Algorithms
Simultaneous Local and Global State Estimation for Robotic Navigation
Finding multiple lanes in urban road networks with vision and lidar
A Perception Driven Autonomous Urban Vehicle
Robust and Efficient Robotic Mapping
Multi-Sensor Lane Finding in Urban Road Networks
Implicit Data Association from Spectrally Clustered Local Matches
The MIT -- Cornell Collision and Why it Happened
Online Constraint Network Optimization for Efficient Maximum Likelihood Map Learning
Robust Dictionary Attack of Short Simple Substitution Ciphers
Spatially-Adaptive Learning Rates for Online Incremental SLAM
Robust Range-Only Beacon Localization
Fast Iterative Optimization of Pose Graphs with Poor Initial Estimates
Recognizing Places with Weak Evidence
Single Cluster Graph Partitioning for Robotics Applications
Incremental Optimization of Large Robot-Acquired Maps
Robust Range-Only Beacon Localization
Otto: A Low-Cost Robotics Platform for Research and Education
A Low-Cost, High-Performance Robotics Platform for Education and Research
The APRIL Robotics Laboratory at the University of Michigan investigates Autonomy, Perception, Robotics, Interfaces, and Learning, and is part of the Computer Science and Engineering department. It is led by Assistant Professor Edwin Olson. Copyright (C) 2010.