Autonomous Forklift: 3D Obstacle Avoidance and Spatial Safety Protection

Scenario Requirements and Pain Points:
When operating among densely packed storage racks, unmanned forklifts face complex three-dimensional spatial challenges. Traditional 2D obstacle-detection radars can only scan a plane approximately 20 cm above the ground, leaving a significant vertical blind zone. As a result, these radars often “fail to see” overhead rack beams, partially protruding goods, or low-level pallets on the floor. This makes it extremely easy for forklifts to collide with overhead objects or scrape cargo against surrounding facilities during operation—accidents that not only damage expensive logistics equipment but also pose a serious threat to the safety of personnel on site.

Application Logic:
Mount YINTAILI’s T51/T53 3D depth-imaging LiDAR on the top of the forklift’s mast or at the front of the vehicle body. The LiDAR projects a high-frame-rate planar laser beam in the direction of travel, acquiring in real time a high-density 3D point cloud and depth images of the space ahead.
3D Collision Avoidance: The system creates a virtual “3D safety corridor” in front of the forklift. Whether it’s suspended objects in the air or ground-level obstacles, as soon as anything enters this 3D zone, the T51/T53 immediately detects it and triggers a deceleration or stop signal.
Cargo confirmation: At the same time, the radar can also monitor the orientation of the cargo on the fork arms, preventing hazards caused by cargo tilting or slipping.

Technological Advantages:
The T51/T53 features an advanced all-solid-state design with no internal mechanical rotating components, offering exceptional resistance to vibration and perfectly adapting to the demanding operating conditions of unmanned forklifts navigating rough terrain. The high-quality 3D point cloud data it provides enables precise differentiation between the volume and distance of obstacles, effectively filling the perception blind spots of 2D radar. Moreover, by employing a “spatial volume” judgment logic, it significantly reduces the false alarm rate, providing unmanned forklifts with comprehensive, stereoscopic visual protection.

Keywords:

Category:

Mobile robot

Logistics

Image and Text Details

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Intelligent Warehouse Robots (AGVs/AMRs): 3D Environment Perception and Stereoscopic Obstacle Avoidance

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