Results 51 to 60 of about 21,157 (187)

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

J-MOD$^{2}$: Joint Monocular Obstacle Detection and Depth Estimation

, 2017
In this work, we propose an end-to-end deep architecture that jointly learns to detect obstacles and estimate their depth for MAV flight applications.
Ciarfuglia, Thomas A., Costante, Gabriele, Mancini, Michele, Valigi, Paolo   +3 more
core   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

3D map building based on extrinsic sensor calibration method and object contour detector with a fully convolutional neural network

Measurement + Control, 2023
In this paper, we propose a simple method to obtain an object’s 3D coordinate information in one image, using one monocular camera and two 2D LiDAR sensors, which are widely used low-cost sensors.
Yanyan Dai, KiDong Lee
doaj   +1 more source

Joint 3D Proposal Generation and Object Detection from View Aggregation

, 2018
We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios. The proposed neural network architecture uses LIDAR point clouds and RGB images to generate features that are shared by two subnetworks: a region proposal ...
Harakeh, Ali, Ku, Jason, Lee, Jungwook, Mozifian, Melissa, Waslander, Steven   +4 more
core   +1 more source

Monocular Differentiable Rendering for Self-supervised 3D Object Detection [PDF]

, 2020
20 pages, Supplementary material included, Published in ECCV ...
Beker, Deniz, Kato, Hiroharu, Morariu, Mihai Adrian, Ando, Takahiro, Matsuoka, Toru, Kehl, Wadim, Gaidon, Adrien   +6 more
openaire   +2 more sources

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision

IEEE Transactions on Intelligent Transportation Systems, 2022
Accepted by IEEE Transaction on Intelligent Transportation System (T-ITS)
Youngseok Kim, Sanmin Kim, Sangmin Sim, Jun Won Choi, Dongsuk Kum   +4 more
openaire   +2 more sources

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

VKP-P3D: Real-Time Monocular Pseudo 3D Object Detection Based on Visible Key Points and Camera Geometry

IEEE Access
Three-dimensional object detection has been substantially improved with the use of expensive LiDAR and stereo vision systems in intelligent driving. The less-expensive and more scalable solution of monocular 3D object detection, however, remains a key ...
Changliang Sun, Hongli Liu, Weichu Xiao, Bo Shi, Yuan Qiu   +4 more
doaj   +1 more source