Tag: Sensor

LiDAR and Radar Sensor Fusion using Unscented Kalman Filter

Sensor fusion is the process of combining data from multiple sensors to obtain a more accurate and reliable estimate of the state of a system. In the field of autonomous driving, sensor fusion is essential for achieving robust perception and localization of the vehicle and its surroundings. One o...

Sensor Fusion and Object Tracking using an Extended Kalman Filter Algorithm — Part 1

This algorithm is a recursive two-step process: prediction, and update. The prediction step produces estimates of the current variables along with their uncertainties. These estimates are based on the assumed model of how the estimates change over time. The update step ...

An Introduction to LIDAR: The Key Self-Driving Car Sensor

The original depth-sensing robot was the humble Bat (50 million years old!). A bat (or dolphin, among others) is able to perform some of the same capabilities as LIDAR using echolocation, otherwise known as Sonar (sound navigation and ranging). Instead of measuring light beams like LIDAR, ...

Attaching sensors and visualizing sensor data in Carla-viz

This blog is the continuation of my previous one which is how you can spawn a vehicle in the desired location in Carla. My aim is just to help out those who are trying to work on Self-driving cars as there isn’t enough resource available online. So in this blog, we will attach dif...