A free, header-only C++ swarming (flocking) library for real-time applications
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Updated
Oct 31, 2019 - C++
A free, header-only C++ swarming (flocking) library for real-time applications
Movement data collection using MPU6050 and Raspberry Pi. And obtaining the position and velocity with Python and Matplotlib, with visualization and data processing.
constant jerk trajectory generator
EKF filter to fuse GPS fix, GPS vel, IMU and Magnetic field
Derivs_Limiter is an Arduino library for making motion profiles with constant acceleration and limited maximum velocity (trapezoidal profile)
System that detects danger levels relative to drivers. Once a driver overpasses a biker, the system detects this unauthorised act, and responds by recognising the car plate in order to contact law enforcements..
Ackermann Car Simulation in Gazebo
RBE500: Foundation of Robotics Final Project
Utilized an Unscented Kalman Filter to estimate the state of a moving object of interest with noise.
Integrates the GNSS aided inerial system ADMA® into the ROS1 and ROS2 hirachy. The GNSS, INS and combined data can be output in the ADMAnet topic and integrated in ROS standard topics. Additionally, the driver records a binary raw data stream, that is fully integrated in the GeneSys toolchain.
Regulatory networks with Direct Information
Differential drive robot with API
Kidnapped Vehicle (project 6 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
It is an C++ based application where you can do scientific calculation as well as the basic ones Here math.h library is used. Here you can do all type of Scientific calculations like to square and cube of a number to ffind log of a number and Areas of 2D and 3D shapes as well well vector,velocity etc
Publishing transform frames for moving objects.
Codi per implementar uns sensors de velocitat utilitzant sensors d'infrarojos (IR) compatibles amb la plataforma Arduino
RGBD_to_velocity converts the cam_to_init topic from the demo_rgbd node to velocity estimates. The velocity estimates are in body_level_frame, body_frame and NED
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