Results 41 to 50 of about 3,501 (181)
Multimotion Visual Odometry (MVO)
CoRR, 2021 Visual motion estimation is a well-studied challenge in autonomous navigation. Recent work has focused on addressing multimotion estimation in highly dynamic environments. These environments not only comprise multiple, complex motions but also tend to exhibit significant occlusion.
Kevin M. Judd, Jonathan D. Gammell
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Sensors, 2021 High-integrity information about the vehicle’s dynamic state, including position and heading (yaw angle), is required in order to implement automated driving functions.
Grischa Gottschalg, Stefan Leinen
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DeLiO: Decoupled LiDAR Odometry [PDF]
2019 IEEE Intelligent Vehicles Symposium (IV), 2019 Most LiDAR odometry algorithms estimate the transformation between two consecutive frames by estimating the rotation and translation in an intervening fashion. In this paper, we propose our Decoupled LiDAR Odometry (DeLiO), which -- for the first time -- decouples the rotation estimation completely from the translation estimation.
Queens Maria Thomas +2 more
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Honeybee odometry and scent guidance [PDF]
Journal of Experimental Biology, 2006 SUMMARY We report on a striking asymmetry in search behaviour observed in honeybees trained to forage alternately at one of two feeder sites in a narrow tunnel. Bees were trained by periodically switching the position of a sucrose reward between relatively short and long distances in the tunnel.
Vladusich, Tony +2 more
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Indirect visual odometry with a light-field camera
Intelligent Systems with ApplicationsVisual odometry is the technique of determining a robot’s pose by analyzing images of its surroundings as it moves. Visual odometry can be categorized into monocular when using a single camera, or stereo when using two cameras or more.
Mohamad Al Assaad +2 more
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Advances in Neural Information Processing Systems 36, 2023 We propose Deep Patch Visual Odometry (DPVO), a new deep learning system for monocular Visual Odometry (VO). DPVO uses a novel recurrent network architecture designed for tracking image patches across time. Recent approaches to VO have significantly improved the state-of-the-art accuracy by using deep networks to predict dense flow between video frames.
Zachary Teed +2 more
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Odometry for Ground Moving Agents by Optic Flow Recorded with Optical Mouse Chips
Sensors, 2014 Optical mouse chips—equipped with adequate lenses—can serve as small, light, precise, fast, and cheap motion sensors monitoring optic flow induced by self motion of an agent in a contrasted environment.
Hansjürgen Dahmen, Hanspeter A. Mallot
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Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
Advanced Robotics Research, EarlyView.A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
6-DOF Vehicle Pose Estimation Considering Lidar Odometry Initial Condition
IEEE AccessPrecise localization is essential for reliable autonomous driving. Traditionally, many systems have turned to lane level map matching techniques utilizing High Definition Maps (HD-Maps).
Chanuk Yang, Kunsoo Huh
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High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation
Advanced Intelligent Systems, EarlyView.Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger +3 more
wiley +1 more source