Core Technologies

Based on the foundation of proprietary technologies and a core “brain” built on a deep learning platform, SenseTime has rapidly opened up AI application in multiple vertical scenarios.

Autonomous Driving

Autonomous Driving

Technical Capabilities

Pedestrian, Motor Vehicle and Non-Motor Vehicle Detection
Vehicle Behavior and Attribute Analysis
Pedestrian Behavior and Attribute Analysis
Lane Detection
Scene Understanding
Traffic Light and Traffic Sign Recognition
High-PrecisionReal-Time Positioning of Large-Scale Scenes
High-Precision 3D Reconstruction of Large-Scale Scenes
Path Planning and Decision Control
FPGA Platform-Based Model Deployment

Pedestrian, Motor Vehicle and Non-Motor Vehicle Detection

Accurate and fast identification of all pedestrians, motor vehicles, and non-motor vehicles in the scenes of various complex road environments.

Vehicle Behavior and Attribute Analysis

Accurate analysis of the attributes and characteristics of vehicles in the scene, including motion status, direction, trajectory, and light signals.

Pedestrian Behavior and Attribute Analysis

Accurate identification of the attributes and characteristics of pedestrians in the scene, including movements and body orientation.

Lane Detection

Accurate and fast recognition of the attributes of different roads and lanes in complex road environments.

Scene Understanding

Accurate and fast perception of the scene for pixel-level semantic symbols so as to achieve scene modelling.

Traffic Light and Traffic Sign Recognition

Accurate and fast recognition of traffic signs and lights in complex road environments and understanding their meanings.

High-PrecisionReal-Time Positioning of Large-Scale Scenes

Leveraging mainly visual information and integrating multiple low-cost sensor solutions to achieve highly accurate real-time positioning in large-scale urban scenes.

High-Precision 3D Reconstruction of Large-Scale Scenes

Achieving 3D geometric reconstruction and texture mapping for large-scale urban scenes by using multi-perspective video, radar, satellite positioning, and inertial navigation systems to provide high-quality 3D map data for autonomous driving.

Path Planning and Decision Control

Leveraging accurate sensor results to make scientific and humanized decision, plan reasonable driving routes, and provide comfortable vehicle control functions.

FPGA Platform-Based Model Deployment

Fast deployment of neural networks on FPGA platforms with efficient model compression and acceleration technology to achieve highly-flexible, low-cost autonomous driving technology.