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Replay Buffer
The dataset used in the paper is a replay buffer containing observations from a navigation task. -
Environment Optimization for Multi-Agent Navigation
The dataset used in the paper is a 2-D environment with a starting region S, a destination region D, and an obstacle region ∆. The environment is described by a starting region... -
Dynamic Attitude Estimation Improvement for Low-cost MEMS IMU by Integrating ...
This paper proposes a low-cost six Degree-of-Freedom (6-DOF) navigation system for small aerial robots based on the integration of Global Position System (GPS) receiver with... -
Google Maps demonstration dataset
The dataset used in this paper is a large-scale demonstration dataset containing 110M and 10M training and validation samples, respectively. -
Room-for-Room
The Room-for-Room (R4R) dataset for instruction conditioned navigation -
Room-to-Room
The Room-to-Room dataset is a photo-realistic dataset for vision-and-language navigation, where agents navigate through indoor environments based on natural language instructions. -
General Evaluation for Instruction Conditioned Navigation using Dynamic Time ...
The dataset for instruction conditioned navigation using dynamic time warping -
Nordland Railway dataset
The Nordland Railway dataset is a large-scale driving dataset that includes a 728km train journey from Trondheim to Bodø in Nordland, Norway, recorded four times, once per season. -
Room-to-Room (R2R) dataset
The Room-to-Room (R2R) dataset is a benchmark for vision-and-language navigation tasks. It consists of 7,189 paths sampled from its navigation graphs, each with three... -
Gridworld, Torus, and Four Rooms Environments
The dataset used in the paper is a set of environments with different topological properties, including a gridworld, a torus, and a four rooms environment. The agent is tasked... -
Learning to Home
A dataset for visual homing algorithm, using omnidirectional images and convolutional neural network -
LiDAR Dataset for End-to-End Navigation
A real-world dataset for LiDAR-based end-to-end navigation, consisting of 32km of driving data with 29km for training and 3km for testing. -
Magnetic Anomaly-based Navigation Dataset
The dataset used for the magnetic anomaly-based navigation problem, containing a scalar magnetometer measurements and a priori magnetic field map. -
ICPS-net dataset
A dataset created for training and testing the ICPS-net system for indoor positioning and navigation. -
Generalization in Deep Reinforcement Learning for Robotic Navigation by Rewar...
A novel reward function for reinforcement learning and a Soft Actor-Critic algorithm to train a DRL policy in the context of local navigation for autonomous mobile robots in...
