LIDAR Autonomous Vehicles

  One foggy night, a self-driving train was travelling in its usual course. Suddenly, one of its vision cameras was covered by a thin haze. That sensor had gone blind for a few moments, but the train did not swerve or brake. Rather, its radar and LiDAR replaced it, and the distance and hazard were analyzed perfectly. The expedition proceeded smoothly, and no one even guessed what actually happened. That smooth recovery is the strength of redundancy, enabled by advanced multimodal sensors. Understanding the Role of Redundancy Redundancy is the use of duplicate sensors to cross-check information. In case one sensor malfunctions, others replace it immediately. This idea is crucial in autonomous systems, where a fraction of a second's mistake can develop major hazards. With Multimodal Sensors , various sensing technologies such as LiDAR, radar, and cameras interchange their views, providing continuous operation in extreme conditions. Example: Cameras record in-depth ...

Every parent should think of the safety of their toddlers. They want their kids to travel to school safely. It is likewise implied if they go to their friends’ houses as well. For this, they can depend on LIDAR Autonomous Vehicles to a large extent. This technology will provide the vehicles with powerful eyes that can watch everything that lies ahead. The cars can also create comprehensive 3D maps of the surroundings. Therefore, they can navigate the roads safely while avoiding hindrances.  This article explains why this technology is responsible for maintaining the safety of children. 1. Sees More Than Human Eyes Ever Could LIDAR has better capabilities of detection than humans. Cameras might not work well in poor illumination. They will also not function properly in inclement weather conditions. On the other hand, LIDAR will create its own light. Therefore, it can function flawlessly in any situation. It is possible for this technology to measure distances accurately. Huma...

  Many individuals are using autonomous vehicles these days. However, it is essential to ensure the safety of the commuters.  Consequently, the LIDAR technology helps to achieve this. Moreover, it allows the navigation of the vehicles precisely. Solid-state LIDAR has emerged as a popular form of LIDAR at present. Many autonomous vehicles are using this technology due to its strength being scalable and affordable. This technology has helped LIDAR autonomous vehicles provide durability and reliability.  Let us reveal how it has been possible in recent times. 1. MEMS and Flash Technologies Enable Mass Production Scalability The best thing about MEMS technology is that it can make movements on its own. Autonomous vehicles can decipher light with the help of small mirrors to see everything around them. There is no need to use any bulky components whatsoever. Flash LIDAR will scan small spots by using a big flashlight. The light will be used by it over everything at the...

  We’ve seen a growing demand for smarter, safer vehicles—and that’s where advanced sensing technology steps in. At Beamagine, we are committed to developing 3D LiDAR systems in real-time and in high definition due to the need for increased accuracy in the detection and guidance systems and in the growing variety of levels of autonomous systems. One of the prime technologies fueling this change is 3D LiDAR, especially in Advanced Driver Assistance Systems (ADAS).  Let us understand how this technology improves road safety and how this will impact future vehicles.  Enhanced Depth and Spatial Awareness 3D LiDAR offers clear visuals, but low light and foggy weather can pose severe problems. Radar can also pick objects at a distance but lacks detail. 3D LiDAR, on the other hand, measures all range detailing in real-time and gives the exact distance as well as the shape of said objects, even in total darkness. At Beamagine, we focus on multi-sensor fusion, wher...