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lalaloc

Latent Layout Localisation

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

lambda

LAMBDA method for integer ambiguity estimation

lambda-1

Lambda Tools for GNSS Ambiguity Resolution on Android Plarform

lambda-2

Functional Programming for C via lambda expressions

lambda-python

LAMBDA for Python (Least Squares Ambiguity Decorrelation Adjustment)

lambda-stlinkv3

Alternative PCB for cheap use of STLINK-V3

lambda_rtklib

lambdasoc

lammps

Public development project of the LAMMPS MD software package

lammps-packages

Scripts, tools, documentation and supporting libraries and files for building pre-compiled LAMMPS packages

lamobo-d1

Source Code and Utils for Lamobo-D1

lancelot

Heavy Duty Dual Spartan6 development platform

landau_collisional_integral

landmark-detection-tracking-slam-

SLAM gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features. This is an active area of research in the fields of robotics and autonomous systems.

landmark_detection

landmark_detection_robot_tracking_slam-

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

landslide-detect

Develop and deploy a workflow to evaluate the effectiveness of Synthetic Aperture Radar in mapping surface damage caused by landslides in reported locations.

landslide-forecasting-system

● Work on the project “LANDSLIDE FORECASTING SYSTEM” with Dr. Varun Dutt, an Associate Prof of IIT MANDI. ● My task was to implement various Deep Learning Time Series Forecasting models and apply Ensemble Learning to improve prediction.

landslides

Landslide displacement prediction intervals

lane-and-pedestrian-detection

Advanced Lane Detection & Pedestrian Detection and Binocular Ranging (Dec, 2017)

lane-and-vehicles-detection

This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, IIT Bombay.

lane-detection

Autonomous lane detection for self-driving cars using two different methods - CNN and Canny Detectors.

lane-detection-on-cpu-pure-software

UDACITY Self Driving Car Advance Lane Detection project based Lane Detection. C++ and OpenCV

lane-detection-on-fpga-hw-part-with-vivado

REALIZATION OF LANE DETECTION ALGORITHMS ON FPGA USING VIVADO

lane-detection-on-fpga-hw-sw-part-with-sdsoc

Realization of Advance Lane Detection Algorithm on Xilinx ZYNQ-7000 using SDSoC platform.

lane-detection-project

lane-detection-with-implementation-on-fpga

Realization of Lane Detection on CPU and implementation on FPGA using SDSOC and VIVADO. Key terms for used softwares: C++, OpenCV, xfOpenCV, Verilog, Xilinx, Vivado, SdSoC.

lane-line-detection

Using OpenCV to detect Lane Lines on a road, one of the most fundamental concepts for building a Self-Driving car.

lane-marking-detection-tracking