research
∙
09/18/2023
Moving Object Detection and Tracking with 4D Radar Point Cloud
Mobile autonomy relies on the precise perception of dynamic environments...
share
research
∙
08/27/2023
Deep Learning for Visual Localization and Mapping: A Survey
Deep learning based localization and mapping approaches have recently em...
research
∙
07/07/2023
Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion
The majority of human detection methods rely on the sensor using visible...
research
∙
06/29/2023
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
Approaching the era of ubiquitous computing, human motion sensing plays ...
research
∙
05/21/2023
VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations
We present Visual-Language Fields (VL-Fields), a neural implicit spatial...
research
∙
05/12/2023
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing
4D human perception plays an essential role in a myriad of applications,...
research
∙
09/29/2022
Exploring Cross-Point Embeddings for 3D Dense Uncertainty Estimation
Dense prediction tasks are common for 3D point clouds, but the inherent ...
research
∙
08/30/2022
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning
As an important biomarker for human identification, human gait can be co...
research
∙
07/16/2022
Cross Vision-RF Gait Re-identification with Low-cost RGB-D Cameras and mmWave Radars
Human identification is a key requirement for many applications in every...
research
∙
07/16/2022
Deep Learning and Its Applications to WiFi Human Sensing: A Benchmark and A Tutorial
WiFi sensing has been evolving rapidly in recent years. Empowered by pro...
research
∙
06/03/2022
OdomBeyondVision: An Indoor Multi-modal Multi-platform Odometry Dataset Beyond the Visible Spectrum
This paper presents a multimodal indoor odometry dataset, OdomBeyondVisi...
research
∙
03/03/2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition
Place recognition is key to Simultaneous Localization and Mapping (SLAM)...
research
∙
03/02/2022
Self-Supervised Scene Flow Estimation with 4D Automotive Radar
Scene flow allows autonomous vehicles to reason about the arbitrary moti...
research
∙
12/30/2021
Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation
Automotive mmWave radar has been widely used in the automotive industry ...
research
∙
12/27/2021
Multiagent Model-based Credit Assignment for Continuous Control
Deep reinforcement learning (RL) has recently shown great promise in rob...
research
∙
12/10/2021
Deep Odometry Systems on Edge with EKF-LoRa Backend for Real-Time Positioning in Adverse Environment
Ubiquitous positioning for pedestrian in adverse environment has served ...
research
∙
12/05/2021
RADA: Robust Adversarial Data Augmentation for Camera Localization in Challenging Weather
Camera localization is a fundamental and crucial problem for many roboti...
research
∙
11/07/2021
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals
mmWave FMCW radar has attracted huge amount of research interest for hum...
research
∙
09/17/2021
AutoPlace: Robust Place Recognition with Low-cost Single-chip Automotive Radar
This paper presents a novel place recognition approach to autonomous veh...
research
∙
04/15/2021
Graph-based Thermal-Inertial SLAM with Probabilistic Neural Networks
Simultaneous Localization and Mapping (SLAM) system typically employ vis...
research
∙
03/01/2021
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching
Accurately describing and detecting 2D and 3D keypoints is crucial to es...
research
∙
01/18/2021
Deep Inertial Odometry with Accurate IMU Preintegration
Inertial Measurement Units (IMUs) are interceptive modalities that provi...
research
∙
11/13/2020
3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar
Accurate motion capture of aerial robots in 3-D is a key enabler for aut...
research
∙
10/26/2020
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors
Positional estimation is of great importance in the public safety sector...
research
∙
06/22/2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence
Deep learning based localization and mapping has recently attracted sign...
research
∙
01/21/2020
Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices
Along with the benefits of Internet of Things (IoT) come potential priva...
research
∙
01/13/2020
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
Modern inertial measurements units (IMUs) are small, cheap, energy effic...
research
∙
12/30/2019
SelectFusion: A Generic Framework to Selectively Learn Multisensory Fusion
Autonomous vehicles and mobile robotic systems are typically equipped wi...
research
∙
12/10/2019
Snoopy: Sniffing Your Smartwatch Passwords via Deep Sequence Learning
Demand for smartwatches has taken off in recent years with new models wh...
research
∙
09/16/2019
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination
Visual odometry shows excellent performance in a wide range of environme...
research
∙
09/12/2019
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor
With the fast-growing demand of location-based services in various indoo...
research
∙
09/08/2019
AtLoc: Attention Guided Camera Localization
Deep learning has achieved impressive results in camera localization, bu...
research
∙
08/14/2019
Autonomous Learning for Face Recognition in the Wild via Ambient Wireless Cues
Facial recognition is a key enabling component for emerging Internet of ...
research
∙
08/11/2019
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction
Dynamical models estimate and predict the temporal evolution of physical...
research
∙
03/04/2019
Selective Sensor Fusion for Neural Visual-Inertial Odometry
Deep learning approaches for Visual-Inertial Odometry (VIO) have proven ...
research
∙
10/04/2018
Transferring Physical Motion Between Domains for Neural Inertial Tracking
Inertial information processing plays a pivotal role in ego-motion aware...
research
∙
09/20/2018