Collaborating Authors

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.

A Beginner's Guide to Self-Driving Cars – The Startup – Medium


Some call it a marvel of technology. Self-driving cars are constantly making the headlines. These vehicles, designed to carry passengers from point A to B without a human maneuver, are promised to bring greater mobility, reduce street congestion and fuel consumption, and create safer roads. Driverless vehicles are hardly a novel concept anymore, but what is really going on in the autonomous car industry? How do self-driving cars work?

How Data Labeling Services Empower Self-Driving Industry 2021? -- Part4


If you are not as paranoid as Musk, automatic driving may not need to divide any technical routes, but only need to optimize the technology. But standing on the opposite side of lidar, Tesla may have missed the best time to develop fully autonomous driving. Lidar is not to replace millimeter-wave radar and vision, but to match with other sensors as a heterogeneous sensor. Through these three different sensors, a heterogeneous fusion can be made to ensure the overall perception security and improve sensitivity and accuracy. Different from the traditional mechanical rotary lidar, Suteng, a Chinese company mainly adopt MEMS technology, which has the advantages of small volume, easy integration, low energy consumption, and low cost.

Self-Driving Vehicle Technology

Communications of the ACM

Automakers have already spent at least $16 billion developing self-driving technology, with the promise of someday creating fully autonomous vehicles.2 What has been the result? Although it seems that we have more promises than actual progress, some encouraging experiments are now under way, and there have been intermediate benefits in the form of driver-assist safety features. Engineers started on this quest to automate driving several decades ago, when passenger vehicles first began deploying cameras, radar, and limited software controls. In the 1990s, automakers introduced radar-based adaptive cruise control and dynamic traction control for braking.

Unbundling The Autonomous Vehicle


Autonomous vehicles rely on several advanced technologies to self-navigate. We unbundle the AV to see how these technologies work together and which companies are driving them forward. Autonomous vehicles rely on a set of complementary technologies to understand and respond to their surroundings. Some AV companies are focusing on these specific components and partnering with automakers and Tier-1 suppliers to help bring their products to scale while others, such as Zoox and Nuro, are designing their vehicles from the ground up. Technology is disrupting the auto industry from all sides. Get the free report PDF to learn more.