With advancements in artificial intelligence (AI) and 5G network connectivity, smart-road infrastructure technology offers the promise of being added to many different roads, bridges, and other transit systems across the U.S.
Advanced 3D lidar sensors emit pulsed light waves into the surrounding environment. These pulses bounce off surrounding objects and return to the sensor. The sensor uses the time it took for each pulse to return to the sensor to calculate the distance it traveled.
Modern transportation wouldn't be the same without robots, and the future will only serve to solidify this. Here's how robots are pushing the transportation industry forward and where they could go from here.
Velodyne Lidar Unveils Breakthrough Solid State Sensor for Advanced Driver Assistance Systems (ADAS) and Autonomy
Available in Affordable Mass Quantities, Velarray H800 is the First in a Family of Solid State Sensors to Enhance Automakers' Safety Features
Its compact, versatile design enables the system to map small, fragmented and narrow spaces as well as environments with many obstacles and uneven terrain.
Musashi AI's technology allows integration with existing sites, retrofitting robots in to existing workplaces rather than having to invest in costly new facilities.
In response to the growing demand for improved robotic assistance in industry sectors such as retail and light industry, we created MARS, the Mobile Arm Robot System, a robot with more sophisticated autonomous navigation and inspection capabilities.
Researchers used deep learning to create a new laser-based system that can image around corners in real time. The systems might one day let self-driving cars "look" around parked cars or busy intersections.
To achieve large-scale commercialization of autonomous vehicles, a new generation of high-precision 3D environment sensing solid-state LiDAR technology products will be required to fulfill the industry's strict requirements.
Today, tantalizing futuristic transportation applications have motivated this mushrooming industry to develop an impressive array of clever new implementations, accompanied by a wave of investment from venture capitalists, software giants, and established players ...
Student Engineers Participating in 3-Year AutoDrive Challenge Are Working to Invent Autonomous Vehicle Future.
LiDAR offers a number of advantages over other perception solutions, enabling smart machines to "see" far distances and generate a 3D representation of their surrounding environment to detect obstacles and make intelligent navigation decisions.
Keep in mind that sensor manufacturers are in direct competition with each other. This means specifications can sometimes be put on a slightly over-optimistic spin. For example, range specifications are sometimes measured using retro-reflective targets
In 2012, Phoenix LiDAR CEO Grayson Omans had the revolutionary idea to mount a Velodyne LiDAR sensor on a UAV-and he transformed the aerial mapping industry in the process.
Because LiDAR uses light, the target must be visible, so it is not an all-weather solution. It wont work well in fog or other weather conditions that affect visibility, but if conditions are clear, it can operate during both day and night.
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A traditional gantry system employs X-Y or X-Y-Z range of motion. Mounted on a base plate, usually granite, 2 parallel rails constitute the synchronized Y axis motion while the cross axis (bridge axis) provides the X motion. A vertical axis can be added on the bridge for the Z motion. A Split Bridge system can be less complex than a traditional gantry system because synchronization of the two parallel linear motors is not required. Both systems are used in industrial production, testing, and additive manufacturing.