Pinned Repositories
3D-Box-Estimation-of-Vehicles-From-Aerial-LIDAR-Point-CLouds
Using LIBLAS we find the estimate positions of vehicle from Aerial LIDAR scans mounted on a Drone flying over the top of the road. The idea is not based on 3D CNNs, but it is rather based on trimming the 3D search space by excluding any set of point cloud that does not belong to the road, then downsampling of PC using 3D Voxelization and move a 3D fix-sized box (at the beginning) and search the ones that have the highest occupancy.
Arduino_Zigbee_MRF24J40_RX-TX
Java-remote-method-invocation-RMI-
Message-Passing-Threads
threads message passing in C using -lpthread
Minesweeper_Demineur
PDE_Parallel_Calculation_MPI
Power_Delay_Area_Optimization_HSPICE_CADENCE_NETLIST_C-
Threads_Vector_Logical_Clocks_MPI
Tourist_Guide_JAVA_Wikitude_Android
TuniBourse_Trading
yesoun's Repositories
yesoun/Message-Passing-Threads
threads message passing in C using -lpthread
yesoun/PDE_Parallel_Calculation_MPI
yesoun/3D-Box-Estimation-of-Vehicles-From-Aerial-LIDAR-Point-CLouds
Using LIBLAS we find the estimate positions of vehicle from Aerial LIDAR scans mounted on a Drone flying over the top of the road. The idea is not based on 3D CNNs, but it is rather based on trimming the 3D search space by excluding any set of point cloud that does not belong to the road, then downsampling of PC using 3D Voxelization and move a 3D fix-sized box (at the beginning) and search the ones that have the highest occupancy.
yesoun/Arduino_Zigbee_MRF24J40_RX-TX
yesoun/Java-remote-method-invocation-RMI-
yesoun/Power_Delay_Area_Optimization_HSPICE_CADENCE_NETLIST_C-
yesoun/Threads_Vector_Logical_Clocks_MPI
yesoun/Minesweeper_Demineur
yesoun/Tourist_Guide_JAVA_Wikitude_Android
yesoun/TuniBourse_Trading
yesoun/apollo
An open autonomous driving platform
yesoun/Logger_Cpp_Multiple_Threads_Outputs_User_Types
C++ Multiple Threads Outputs User Types
yesoun/Multi_Layer_Perceptron_IrisData_C-_CUDA
yesoun/PCAP_WIRESHARK_JSON_PCAP_C-
Program will read the pcap file, parsing the main file header, and each packet header. See https://wiki.wireshark.org/Development/LibpcapFileFormat for a discussion of the PCAP file format. Program will write out a JSON format file. Including the following fields (indexed with the specified strings) "magicNumber" -- PCAP magic number "majorVersion" -- PCAP file major version number "minorVersion" -- PCAP minor version number "thisZone" -- PCAP time zone (GMT to local correction) "sigFigs" -- accuracy of timestamps "snapLen" -- maximum packet size "network" -- data link type "count" -- total number of packets read in this file. Your program will have to calculate this and for each packet a packet number, starting at 0 (See posted format) "tmSec" -- timestamp seconds "tmUSec" -- timestamp microseconds "inclLen" -- number of octets/bytes of packet in the pcap file "origLen" -- number of octets/byets of packet on the network (will be same as inclLen unless bigger than snapLen Sample output format: (newlines don't matter here. Also, order of fields in {...} don't matter.
yesoun/3D_CNN_tensorflow
KITTI data processing and 3D CNN for Vehicle Detection
yesoun/alpaca-trade-api-cpp
C++ client library for the Alpaca Trading API.
yesoun/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
yesoun/ElasticFusion
Real-time dense visual SLAM system
yesoun/KITTI-Dataset
Examination of the KITTI dataset.
yesoun/KittiViz
Data visualizer for Kitti dataset.
yesoun/librdkafka
The Apache Kafka C/C++ library
yesoun/lidar-viz
Lidar Visualization.. Visualize CSV files from ROS Bags & WIP for KITTI bin files
yesoun/mojio-developer-cms
yesoun/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
yesoun/Power_Delay_Area_Optimization_HSPICE_CADENCE_C-
yesoun/readLidar
draft based kitti
yesoun/snark
generic c++ libraries and utilities for robotics
yesoun/SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
yesoun/TCP_IP_HEADERS_PCAP_JSON_C-
TCP_IP_HEADERS_PCAP_JSON_C++
yesoun/tracking-with-Extended-Kalman-Filter
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.