Search Results for author:
Found 14 papers, 6 papers with code
Detecting Olives with Synthetic or Real Data? Olive the Above
When access to real, human-labeled data is limited, a combination of mostly synthetic data and a small amount of real data can enhance olive detection.
WorldGen: A Large Scale Generative Simulator
In the era of deep learning, data is the critical determining factor in the performance of neural network models.
OysterNet: Enhanced Oyster Detection Using Simulation
However, systems for accurate oyster detection require large datasets obtaining which is an expensive and labor-intensive task in underwater environments.
DiffPoseNet: Direct Differentiable Camera Pose Estimation
In this paper, we introduce a network NFlowNet, for normal flow estimation which is used to enforce robust and direct constraints.
TTCDist: Fast Distance Estimation From an Active Monocular Camera Using Time-to-Contact
Distance estimation from vision is fundamental for a myriad of robotic applications such as navigation, manipulation, and planning.
NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction
In this paper, we present the first framework to segment unknown objects in a cluttered scene by repeatedly 'nudging' at the objects and moving them to obtain additional motion cues at every step using only a monochrome monocular camera.
EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following
Our network can detect propellers at a rate of 85. 1% even when 60% of the propeller is occluded and can run at upto 35Hz on a 2W power budget.
SpikeMS: Deep Spiking Neural Network for Motion Segmentation
Spiking Neural Networks (SNN) are the so-called third generation of neural networks which attempt to more closely match the functioning of the biological brain.
MorphEyes: Variable Baseline Stereo For Quadrotor Navigation
To our knowledge, this is the first work that applies the concept of morphable design to achieve a variable baseline stereo vision system on a quadrotor.
0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera
Segmentation of moving objects in dynamic scenes is a key process in scene understanding for navigation tasks.
PRGFlow: Benchmarking SWAP-Aware Unified Deep Visual Inertial Odometry
Odometry on aerial robots has to be of low latency and high robustness whilst also respecting the Size, Weight, Area and Power (SWAP) constraints as demanded by the size of the robot.
EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
To our knowledge, this is the first deep learning -- based solution to the problem of dynamic obstacle avoidance using event cameras on a quadrotor.
SalientDSO: Bringing Attention to Direct Sparse Odometry
We merge the successes of these two communities and present a way to incorporate semantic information in the form of visual saliency to Direct Sparse Odometry - a highly successful direct sparse VO algorithm.
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
We use this philosophy to design a minimalist sensori-motor framework for a quadrotor to fly though unknown gaps without a 3D reconstruction of the scene using only a monocular camera and onboard sensing.
Robotics
