ADVANCED

AUTONOMOUS DRIVING

TECHNOLOGY SOLUTIONS

TuSimple's expertise includes Perception, Decision-Making, SLAM, Face Analysis and Image Recognition. In the field of Autonomous Driving Perception, TuSimple has developed advanced Object Detection, Lane Detection, Semantic Segmentation, Stereo and Flow, and Multi-Object Tracking technologies

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

Object Detection

Recognizes vehicles and pedestrians. TuSimple's Object Detection technology specifically focuses on China's specific traffic conditions, enhances the recognition for bicycles, electric vehicles, motorcycles, tricycles, and balance cars, and ensures detection results under high-density flow and traffic.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

Lane Detection

Alarm sounds when lane departure is detected. This feature provides enhanced detection results under complex road conditions and unclear lanes.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

Semantic Segmentation

Infer semantic meanings for every pixel. Semantic Segmentation is used to analyze road conditions and barrier information.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

Stereo and Flow

Compute objects'depth, position, and speed. Combined with other technologies, this feature identifies pavement irregularities.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

Multi-object Tracking

Tracks and predicts the motion of other objects. Alarm sounds when abnormal behaviors are detected.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

Decision Making

Based on analyses of destination, vehicle, driver and surroundings, Decision Making automatically initiates actions such as steering, avoiding barriers, decelerating and braking.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

SLAM

Collects real-time visual data and creates a 3D map during driving. Locates the vehicle itself with cm accuracy.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

Face Analysis

Analyzes driver's status and safety concerns based on facial expressions. Alarm sounds when safety hazards are detected.

  • Object Detection
  • Lane Detection
  • Semantic Segmentation
  • Stereo and Flow
  • Multi-object Tracking
  • Decision Making
  • SLAM
  • Face Analysis
  • Image Recognition

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Image Recognition

Accurately recognizes the content and attributes of an image. Classifies images using labels at diverse levels.