©COPYRIGHT 2018 PerceptIn  ALL RIGHTS RESERVED

Ignite

Transportation

Revolution

DragonFly Computer Vision Module

RTK GNSS Module

Sonar

77 GHz mm Wave Radar

Chassis

The People’s Autonomous Vehicle

Feature 1

Visual perception: a combination of semantic information extraction through deep learning technologies and spatial depth extraction through traditional computer vision techniques.

Feature 2

Visual inertial odometry (VIO): we fuse the four camera sensors and the inertial measurement unit to generate accurate real-time position updates.

Feature 3

GPS/VIO fusion: GPS is great sensor for localization but at times we do not receive good GPS signal, leading to localization failures. By fusing GPS and VIO, we could achieve accurate and real-time localization results even in GPS-denied situations.

 

Case Study

 

PerceptIn commits to bring in micro-mobility service in university campuses in Indiana, addressing students’ commute demands between campus parking lot and academic buildings.

Business Landing: Bring Micro-Mobility Service to Purdue University

During MWC Barcelona 2019, PerceptIn partners with ZTE and Orange to demonstrate how 5G technology can be applied to self-driving industry with DragonFly Pod. 

Business Landing: Demonstrate 5G Technology during MWC Barcelona

About PerceptIn

Team Background

Founder/CEO

Shaoshan Liu

Industry Advisor

Allen Wu

CTO

Bo Yu

Computer Vision Advisor

Gary Bradski

COO

Weiyue Wu

Academia Advisor

Jean-Luc Gaudiot

 

What We Do

Algorithm

Hardware

- Multi-Sensor Computing Module
- Factory Calibration Hardware
- Synchronization

Software

- User-Friendly SDK
- Heterogeneous Computing
- Dynamic Workload Scheduling
- Localization
- Perception
- Planning & Control

Press Highlights

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