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T70

ILS-T70 3D Depth Imaging LiDAR

T70

All-solid-state 3D depth-imaging LiDAR—wide field of view, unafraid of strong light, the ultimate perception tool for outdoor autonomous vehicles.

The T70 is a solid-state 3D depth-imaging LiDAR based on dToF (direct Time-of-Flight) technology. Specifically designed for low-speed autonomous driving scenarios in outdoor environments, it offers a stable detection range of 25 meters (at 10% reflectivity) and an ultra-wide field of view of 120° × 50°, enabling precise detection of pedestrians, vehicles, and low-lying obstacles around the vehicle body.
With its exceptional resistance to light at 100,000 lux and an IP67 protection rating, the T70 is unfazed by intense sunlight, rain, snow, or rough road conditions, consistently delivering clear and stable 3D point cloud data. As a solid-state radar with no moving parts internally, it boasts extremely high mechanical stability and longevity, making it the ideal choice for campus logistics vehicles, cleaning robots, and security patrol vehicles that require all-weather 3D perception.

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Overview

From indoors to outdoors—no fear of the blazing sunlight and intense brightness.

The T70 breaks through the traditional limitation of ToF cameras being “blinded” by strong outdoor light. Thanks to dToF technology and an impressive light resistance capability of up to 100,000 lux, it can still clearly detect low-reflectance objects on black asphalt surfaces even under direct midday sunlight, ensuring all-weather operation of autonomous vehicles outdoors.

120° ultra-wide field of view, eliminating near-field blind spots

It boasts an ultra-wide field of view (FOV) of 120° horizontally and 50° vertically. Mounted on the front or side of an autonomous vehicle, a single unit can cover a broad detection area, effectively identifying pedestrians suddenly entering from the side-front or low obstacles close to the vehicle body.

All-solid-state and highly reliable, specially designed for bumpy road conditions.

With no mechanical rotating components, it features a robust structure and exceptional seismic resistance. Compared to mechanical LiDAR systems, the T70 is better equipped to handle bumps and vibrations on outdoor road surfaces, significantly reducing failure rates and maintenance costs caused by mechanical wear and tear.

Core features

Imaging technology: All-solid-state dToF
Measurement range: 25m (10%) / 45m (90%)
Field of View (FOV): 120° (H) × 50° (V)
Point cloud resolution: 360 × 150
Frame rate: 10 Hz
Anti-light interference: 100,000 Lux
Protection rating: IP67
Data interface: Gigabit Ethernet

Empowering low-speed autonomous driving in outdoor environments

The T70 fills the market gap between 2D obstacle-detection radar and expensive 360° mechanical radar. It is widely used in... Park logistics vehicles, unmanned cleaning vehicles, and security patrol robots In the field of low-speed autonomous driving, as a complementary or near-field blind-spot detection sensor to the main radar, the T70 can clearly identify curbs, speed bumps, pets, and pedestrians suddenly darting into the road, providing an additional three-dimensional safety barrier for the autonomous vehicle’s safe operation.

Specifically designed for complex outdoor environments.

Unafraid of strong light up to 100,000 lux, providing stable detection around the clock.

Outdoors, sunlight is the biggest enemy of ToF cameras. The T70 employs a unique narrow-band filter and a high dynamic range (HDR) algorithm, boosting its ability to resist light interference to... 100,000 Lux 。

This means that whether it’s under the blazing midday sun or on a night illuminated directly by car headlights, the T70 can maintain an exceptionally high signal-to-noise ratio, delivering clear and complete point cloud data without large areas of noise or visual obstruction.

See wider, measure farther.

T70 expands the field of view to 120° (H) × 50° (V) Compared to the 60°-90° field of view of conventional depth cameras, this one nearly doubles the width of the field of view. A single radar unit can cover the entire lane width.

Meanwhile, its detection range for 10% low-reflectance objects reaches 25 meters It provides ample braking reaction time for autonomous vehicles traveling at speeds of 10-20 km/h, while simultaneously addressing the dual needs of near-field blind-spot compensation and mid-range perception.

Enrich 3D information to support intelligent decision-making.

The T70 not only outputs distance information but also reconstructs the three-dimensional shape of objects. By leveraging high-density point cloud data, the autonomous vehicle’s algorithms can easily distinguish between curbs, puddles, speed bumps (passable areas) and obstacles such as rocks, cardboard boxes, and pedestrians.

The built-in obstacle-avoidance algorithm supports flexible configuration of 3D protection zones and can directly output alarm signals, thereby reducing the computational load on the main controller.

Fully sealed design, IP67 rated.

The outdoor environment is filled with dust and rain. The T70 features an integrated die-cast aluminum alloy housing, achieving... IP67 High protection rating, completely dustproof and capable of short-term immersion.

Working temperature range covered -10℃ ~ 55℃ Whether it's the hot summer or the humid rainy season, the T70 consistently delivers outstanding performance.

YINTAILI All-round Services

SDK and Development Support

We provide SDKs compatible with Linux and Windows, as well as ROS/ROS2 driver packages, to help you quickly integrate point cloud data.

Free trial of the prototype

For customers with specific projects, we offer a free loan of the T70 prototype for testing, allowing you to personally experience its outdoor light resistance performance.

Customized services

Cable length, connector definitions, or filtering algorithms tailored to specific scenarios can be customized according to customer requirements.

Explore more potential applications

In-Ground Vehicle (IGV): All-Weather, Outdoor 3D Obstacle Avoidance and Environmental Perception

Port terminals are typical all-weather, unstructured outdoor environments. When operating, unmanned ground vehicles (IGVs/ARTs) face complex lighting challenges: intense glare at noon, low illumination at night, and reflections from waterlogged surfaces—all of which can severely interfere with the visual cameras’ ability to make accurate judgments. Moreover, terminal surfaces often littered with low, small objects such as container locks, maintenance tools, or traffic cones—traditional single-line LiDAR systems are highly prone to “missing” these objects when scanning from above, potentially leading to vehicle tires being punctured or damaged by running over such objects, thereby impacting port operational efficiency.

Autonomous Sweeper: Edge-Adaptive Cleaning Guidance and Ground Obstacle Detection

Unmanned cleaning vehicles primarily operate in outdoor settings such as parks, plazas, or sidewalks. To ensure comprehensive cleaning coverage, these vehicles typically perform “edge-cleaning”—that is, they drive closely alongside curbs. This task places extremely high demands on perception accuracy: the vehicle must not only identify the exact position of the curb to maintain its course but also prevent its wheels from scraping against the curb. Moreover, outdoor environments feature dramatic changes in lighting conditions—such as shade from trees and intense sunlight—and often include low stone pillars, steps (negative obstacles), or non-rigid debris like piles of fallen leaves. As a result, conventional sensors struggle to reliably distinguish between “debris that can be safely traversed” and “obstacles that must be avoided.”

Outdoor Low-Speed Unmanned Vehicle: Forward Blind Spot Suppression and 3D Environment Perception

Low-speed autonomous vehicles, such as unmanned delivery vehicles and unmanned sweepers, typically operate on outdoor, unstructured roads. Although the main lidar mounted on the roof has a long detection range, it creates a significant near-field blind spot beneath the vehicle’s front end. As a result, the main lidar often struggles to detect low-lying obstacles—such as curbs, pets, or traffic cones—as well as road surface potholes (negative obstacles). Moreover, intense sunlight outdoors places extremely high demands on the sensors’ anti-interference capabilities; ordinary depth cameras tend to fail under strong lighting conditions.