Collaborating Authors

How eye imaging technology could help robots and cars see better


One of the imaging technologies that many robotics companies are integrating into their sensor packages is Light Detection and Ranging, or LiDAR for short. Currently commanding great attention and investment from self-driving car developers, the approach essentially works like radar, but instead of sending out broad radio waves and looking for reflections, it uses short pulses of light from lasers. Traditional time-of-flight LiDAR, however, has many drawbacks that make it difficult to use in many 3D vision applications. Because it requires detection of very weak reflected light signals, other LiDAR systems or even ambient sunlight can easily overwhelm the detector. It also has limited depth resolution and can take a dangerously long time to densely scan a large area such as a highway or factory floor.

Vehicle Artificial Perception-Building Experimental Systems


This work introduces my initial experiment to study Artificial Perception in Self-Driving technology. Vehicle Artificial Perception is known as a capability that helps Self-driving cars to understand the surrounding environment through a computer based-system. The system can consist of several different sensors such as Cameras, Lidar, Radar, GPS, gather information around the car. An intelligent software then processes the data collected from the sensors to recognize and classify surrounding objects such as cars, humans, road marks, traffic signs.... Based on the understanding of the detected objects, the intelligent software can predict behavior and plan appropriate reactions according to the situations. Creating such an intelligent software has been a challenge for Artificial Intelligence researchers for decades. However, Deep Learning has recently offered a promising solution in the field of Artificial Intelligence, in which Deep Learning software has the ability to learn to create its own Artificial Neural Networks.

Murder victims hidden in camouflaged graves could be found using pulses of laser light

Daily Mail - Science & tech

Murder victims buried in unmarked graves in remote areas could soon be found using pulses of laser light, new research has shown. Laser light known as Lidar – a portmanteau of'light and'radar' – could be beamed from a helicopter to create 3D maps of remote areas to help police search teams. Scientists believe Lidar could quickly reveal places where ground has sunk by a few centimetres, caused by decomposing bodies buried beneath the ground. This sinking movement is too subtle for the naked eye to detect, especially when the grave has been scattered with leaves or debris, scientists say. The latest findings could help police search teams quickly narrow down their efforts when looking for bodies in remote areas.

LIDAR Sensor in Autonomous Vehicles: Why it is Important for Self-Driving Cars?


Sensor-based technologies are playing a key role in making artificial intelligence (AI) possible in various fields. LiDAR is one of the most promising sensor-based technology, used in autonomous vehicles or self-driving cars and became essential for such autonomous machines to get aware of its surroundings and drive properly without any collision risks. Autonomous vehicles already use various sensors and LiDAR is one of them that helps to detect the objects in-depth. So, right here we will discuss LiDAR technology, how it works, and why it is important for autonomous vehicles or self-driving cars. LIDAR stands for Light Detection and Ranging is a kind of remote sensing technology using the light in the form of a pulsed laser to measure ranges (variable distances) to the Earth.

LIDAR vs RADAR: A detailed comparison


I was recently asked about the differences between RADAR and LIDAR. I gave the generic answer about LIDAR having higher resolution and accuracy than RADAR. When prompted for why RADAR is less accurate and lower resolution, I sort of mumbled through a response about the wavelength. However, I did not have a good response, so this post will be my better response. LIDAR--which is short for Light Detection and Ranging--uses a laser that is emitted and then received back in the sensor.