LiangDao Intelligence

Pure solid-state Flash short-range LiDAR with a 120°x90° field of view, 10~20 Hz frame rate, overall dimensions of 80*54*58 mm, weight of ≤350 g, detection range of more than 30 m at 10% reflectivity and power consumption of ≤9 W. Chip-level design and Flash electronic scanning technology eliminate all moving parts, ensuring high reliability and an extra-long service life. It supports SLAM high-precision positioning with centimeter-level accuracy, and multi-unit combinations achieve 360° blind-spot-free coverage.

Model: LD Gen2 Lite; Field of view: 120°x90°; Frame rate: 10-20Hz; Detection range: >30m at 10% reflectivity; Dimensions: 80x54x58mm; Weight: ≤350g; Power consumption: ≤9W; Positioning accuracy: centimetre level (SLAM)

• Intelligent driving
• Smart manufacturing
• Intelligent logistics
• Robotics
• Intelligent transportation

Pure solid-state short-range LiDAR with a 120°x90° field of view, 10~20 Hz frame rate, compact dimensions of 65*39*40 mm, weight under 150 g, detection range of ≥30 m at 10% reflectivity and power consumption of ≤6 W. Elegant and highly compact, it supports rapid integration and deployment, offers an extra-wide 120°x90° field of view with 192 channels, and can be combined to achieve 360° blind-spot-free coverage. SLAM high-precision positioning delivers centimeter-level accuracy.

Model: LD Gen2 Mini; Field of view: 120°x90°; Equivalent channels: 192 lines; Frame rate: 10-20Hz; Detection range: ≥30m at 10% reflectivity; Dimensions: 65x39x40mm; Weight: <150g; Power consumption: ≤6W

• Intelligent driving
• Smart manufacturing
• Intelligent logistics
• Smart home
• Digital surveying and mapping

Pure solid-state short-range LiDAR with a 120° horizontal and 90° vertical field of view, 10~20 Hz frame rate, weight under 500 g, detection range of ≥30 m at 10% reflectivity and power consumption of ≤9 W. Built on chip-level design and Flash electronic scanning technology, its slim housing contains no moving parts, ensuring high reliability and an extra-long service life. The proprietary AI perception algorithm precisely captures static and dynamic objects, and multi-unit combinations achieve 360° blind-spot-free coverage.

Model: LD Satellite Gen2; Horizontal field of view: 120°; Vertical field of view: 90°; Frame rate: 10-20Hz; Detection range: ≥30m at 10% reflectivity; Weight: <500g; Power consumption: ≤9W; Combined coverage: 360° without blind spots via multiple units

• Intelligent driving
• Intelligent transportation
• Intelligent logistics
• Robotics
• Intelligent agricultural machinery

Industry-leading LiDAR perception algorithms combining traditional and AI-driven methods, with architectures and pre-trained models suited to both forward-facing and 360-degree LiDAR systems. Perception fusion algorithms are provided for different LiDAR hardware combinations and integrated on mainstream computing platforms. Functions cover object detection, dynamic parameter estimation (position, orientation, velocity, acceleration, steering angle, time gap), road feature detection (bridges, tunnels, lane markings, road edges), drivable area detection, obstacle recognition, self-localization, misalignment detection and system calibration.

Model: LD Perception; Supported LiDAR configurations: forward-facing and 360° systems; Object detection range: 0.2-200m; Detectable object classes: ≥8 (vehicles, pedestrians, cyclists, obstacles, etc.); Dynamic parameter estimation: 6 items (position, orientation, velocity, acceleration, steering angle, time gap); Road feature recognition: 4 classes (bridges, tunnels, lane markings, road edges); Self-localization accuracy: centimetre level; Algorithm latency: ≤50ms

• Intelligent driving perception feature development
• ADAS/AD function testing and validation
• Mass-production perception data services

A high-performance in-vehicle hardware-software ground truth system capable of collecting data over millions of miles. The truth perception part consists of high-resolution LiDARs, cameras and other sensors, complemented by storage devices, synchronization units, vehicle power supply and positioning equipment. Main functions include lane marking detection, object detection and parking solutions. It comes with a proprietary data toolchain: sensor calibration software LD Calibrator, in-vehicle data logging software LD Logger, and automated testing label software LD AI Tagging (supporting voice event recording, AI classification and statistics).

Model: LD Compass; Collection capability: data acquisition over millions of miles; Sensor configuration: high-resolution LiDAR plus cameras, up to 8 channels; Time synchronization accuracy: ≤1ms; Positioning accuracy: centimetre-level RTK; Onboard storage capacity: ≥8TB; Functional modules: 3 categories (lane marking detection, object detection, parking solutions); Bundled toolchain: 3 tools (LD Calibrator, LD Logger, LD AI Tagging)

• High-definition map road feature recognition and LKA function evaluation
• ADAS function evaluation (ACC, AEB, FCW, BSD)
• Parking function testing and SLAM local map generation
• Road testing of intelligent driving functions

Intelligent toolchain for ground truth data production, providing AI-driven automated annotation (continuous-frame annotation, static and dynamic object recognition) plus professional manual annotation, certified to ISO/SAE 21434, ISO/IEC 27001 and TISAX. The toolchain includes point cloud annotation software LD Editor, Jira-based data operations tool LD Bot, data quality monitor LD Validator (object overlap and duplicate ID detection) and perception performance evaluation tool LD KPI (accuracy and recall reports). Processing spans quality checking, cleaning, 95% automated annotation, manual QC and final truth output.

Model: LD Data Factory; Automated annotation share: 95%; Annotation targets: continuous-frame point clouds and static/dynamic objects, ≥10 classes; Quality checks: ≥5 items (object overlap, duplicate ID, etc.); Evaluation metrics: ≥6 (accuracy, recall, etc.); Compliance certifications: 3 (ISO/SAE 21434, ISO/IEC 27001, TISAX); Bundled tools: 4 (LD Editor, LD Bot, LD Validator, LD KPI); Processing flow: 5 stages (quality check, cleaning, automated annotation, manual correction, ground truth output)

• LiDAR point cloud annotation
• Training data production for perception algorithms
• Data quality control
• Perception performance evaluation

A high-precision roadside perception fusion system developed for smart transportation and vehicle-infrastructure cooperation. It comprises the LDTelescope® integrated LiDAR-camera unit (LiDAR ranging up to ~200 m, 360° horizontal FOV, 0° to -90° vertical FOV, resolution up to 0.1°; camera with 5 million effective pixels and 104.4° diagonal FOV) and the LD MEC edge computing unit. Object perception accuracy is 95%, recall 98%, positioning accuracy 0.1 m and speed accuracy 2 km/h, enabling traffic object perception and recognition, collision warning, traffic volume counting and average speed statistics.

LiDAR ranging up to ~200 m; horizontal FOV 360°; vertical FOV 0° to -90°; resolution up to 0.1°; camera effective pixels 5 million; object perception accuracy 95%, recall 98%; positioning accuracy 0.1 m; speed measurement accuracy 2 km/h

• Intelligent connected vehicle testing grounds
• Highway and tunnel monitoring
• Holographic intersections
• Urban traffic flow analysis

An object-level environmental perception system supporting multifunctional testing and validation. High-precision perception base stations installed roadside provide physical-world, object-level perception via the perception platform. The system comprises: LD Telescope (high-resolution LiDAR 3D point cloud fused with vision for precise object recognition and localization), LD MEC (edge computing unit outputting lane-level object data), the LD data platform (post-processing that produces near-true roadside ground truth data) and LD KPI (validating devices under test and generating roadside perception performance reports).

Composed of LD Telescope, LD MEC, LD Data Platform and LD KPI; supports object-level environmental perception and multifunctional testing and validation

• Automated evaluation of roadside perception systems
• Roadside traffic scenario library construction
• Foundation of training data for autonomous driving algorithms
• Vehicle-road-cloud integration

A relocatable roadside perception workstation performing real-time traffic object detection with accompanying perception algorithms. Post-processing tools support data collection, roadside perception, ground truth evaluation and digital twin scenarios. Hardware allows flexible configuration of LiDAR, millimeter-wave radar and vision sensors; radar FOV 360° horizontal and 0° to -90° vertical, mobile ranging radius 50~150 m. Operating temperature -20°C to +60°C, protection rating IP67, independent power and 5G network supply, lifting range 2.3~5.3 m, overall dimensions 105*696*2300 mm and weight 225 kg.

Model: LD Mobile Station; Radar field of view: 360° horizontal, 0° to -90° vertical; Ranging radius: 50-150m; Operating temperature: -20°C to +60°C; Protection rating: IP67; Lifting range: 2.3-5.3m; Overall dimensions and weight: 105x696x2300mm, 225kg; Power and communication: independent power supply and 5G

• Ground truth collection
• Digital twin
• Perception testing
• Traffic flow collection
• Parking