Projects
Based on our experience in various fields,
we effectively handle high-complexity data processing.
1
3D LiDAR
3D LiDAR sensor data processing
2
LD&RB
Lane detection and road information data processing
3
LSD
Lane detection data processing
4
TSR
Traffic sign recognition data processing
5
LSR
Driving vehicle status recognition data processing
6
Scene classfication
Dynamic video-based road driving environment classification
7
FSD
Drivable space classification, terrain and boundary information data processing
Using data collected from various road environments through LiDAR sensors, we annotate objects such as roads, vehicles, pedestrians, traffic signals, and signs. This process involves identifying each object's location, size, attributes, status, occlusion, and orientation.
3D Lidar
OD
OBJECT DETECTION
Detection of various dynamic objects in the driving environment, including animals, buses, cars, pedestrians, bicycles, and motorcyclists.
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SOD
STATIC OBJECT DETECTION
Detection of static objects related to parking and obstacles, such as fixed obstacles, parking-related objects, parking locks, parking stoppers, and barrier bars.
TSTLD
TRAFIC SIGNS & TRAFIC LIGHTS DETECTION
Detection of signal system-related objects, including traffic signs and signals, the interiors and exteriors of traffic signs, and signals for both vehicles and pedestrians.
Labeling of objects only in the front view of the vehicle
Labeling of objects
in the 360-degree surrounding view of the vehicle
*With the advancement of autonomous driving technology
NEXTER AI
NEXTER AI has a skilled pool of experts to meet these advanced 3D labeling requirements.
The same object viewed from different angles
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This requires labelers to have high perceptual skills to distinguish the same object from different angles.
OTHER
PROJECTS
LD & RB
LANE DETECTION & ROUND BOUNDARY
Recognition of lanes and lane-obstructing obstacles during autonomous driving Lanes (solid lines, dashed lines, guide lines, etc.)
Obstacles (walls, temporary barriers, fixed barriers, etc.)
LSD
LANE DETECTION DATA PROCESSING
Detection of traffic signs and vehicle types in low-visibility and poorly-lit night conditions
TSR
TRAFIC SIGN & RECOGNITION
Object recognition and annotation of road signs related to driving during vehicle operation.
Classification of main signs and auxiliary signs.
Classification of road signs by country (Europe, USA, China, Japan, Korea, etc.)
FSD
3D Perception Multi Vision FREE SPACE DETECTION
Segmentation of navigable and parking spaces (free space) for the recognition of road surfaces and planes, boundaries, obstacles, etc.
Annotation of curbs, vehicles, artificial structures, parking stoppers, general objects, terrain, etc.
SC
SCENE CLASIFICATION
Classification of weather, time of day, and road conditions (e.g., highway, rural, general roads) through video into 8 basic scene types, further detailed into 25 classes.
LSR
TRAFIC SIGN & RECOGNITIaON
Recognition of vehicle lights. Annotate the front and rear positions and types of objects based on the detected information.
