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uap-bev

UAP-BEV: Uncertainty Aware Planning in Bird's Eye View Generated from Monocular Images (CASE 2023)

uas_sfm

Processing tools for SfM and subsequent outputs

ubuntu20.04lsd_slam

ugv-localization

Sensor fusion for localizing an unmanned ground vehicle (UGV) equipped with GPS, IMU, and wheel encoders.

ultimate_tictactoe

ultra-light-fast-generic-face-detector-1mb

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

uncertainty-detection-autolabeling

Implementation of several research papers focused on uncertainty estimation and auto-labeling within the context of object detection for autonomous driving applications. It utilizes the Keras implementation of EfficientDet as an exemplary detector for demonstration purposes.

uniad

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

unisurf

[ICCV'21] UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction

unvio

The source code of IJCAI2020 paper "Unsupervised Monocular Visual-inertial Odometry Network".

up-down-captioner

Automatic image captioning model based on Caffe, using features from bottom-up attention.

up-nerf

Official Implementation (PyTorch) of "UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields", NeurIPS 2023

urbanloco

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

urbanscene3d

utilizing-optically-multiplexed-cameras-for-simultaneous-localization-and-mapping

uv-slam

UV-SLAM: Unconstrained Line-based SLAM Using Vanishing Points for Structural Mapping

v-slam-based-on-nerf

v2v4real-bevseg

Adapted version of V2V4Real project for BEV map segmentation

vad

[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

vector-map-generation-from-aerial-imagery-using-deep-learning-geospatial-unet

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.

vehicle-distance-detection

Using Perspective Transform to leverage bird's eye view (BEV) to estimate distance between objects.

velocity

Structure From Motion (SFM) for vehicle speed

vggsfm

[CVPR 2024 Highlight] VGGSfM Visual Geometry Grounded Deep Structure From Motion

vi-mean

Visual-Inertia-fusion-based Monocular dEnse mAppiNg

vi-slam

Visual Inertial SLAM

vi-slam-1

Utilize synchronized measurements from an IMU, a stereo camera, the intrinsic camera calibration and the extrinsic calibration between the two sensors specifying the transformation from the IMU to the left camera frame, this design aims to realize the goals including IMU localization via EKF prediction, landmark mapping via EKF update and ultimatel

vic_sfm3d

VIC Project

vidar

video-llava

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection