Language

Solution Introduction

  • The system complies with applicable regulatory requirements, including UNECE R158 and FMVSS 111, and succeeded tests including NCAP PEB and i-VISTA.
  • The system achieves a parking space distance detection error as low as 3 cm and an obstacle detection error of less than 10 cm. It recognises 26+ object types and supports large-scale environmental modelling.
  • With an initial mapping success rate above 95%, the system builds real-time maps that incorporate moving obstacles. This enables the handling of complex scenarios, including long horizon U-turn and mix traffics of pedestrians and vehicles.
  • Parking space search and parking success rates both exceed 95%. Memory parking also achieves a success rate above 95%, with cruising speeds of up to 15 km/h.

APA/RPA

丨

MPA/AVP/CFPA

  • Automated Parking Assist (APA)

    The system automatically detects available parking spaces and plans an optimal trajectory for parallel, perpendicular or angled parking. It completes the parking manoeuvre automatically while the driver only needs to supervise.

  • Remote Parking Assist (RPA)

    Drivers can use a mobile app from outside the vehicle to control park-in, park-out and straight-line movements. Designed for tight parking spaces, the system also detects and avoids obstacles to ensure safety.

Video
  • Memory Parking Assist (MPA)

    Powered by advanced visual SLAM technology, the vehicle can learn and memorize the environment and driving paths within a specific parking lot. This enables fully automated parking from any point on the recorded path to a designated parking space without manual intervention.

  • Automated Valet Parking (AVP)

    The vehicle can autonomously drive from the drop-off point to a designated or non designated parking spot and complete the entire parking process without driver intervention. It is designed for structured parking facilities such as shopping malls and office buildings. It supports a crowdsourced mapping mechanism, where users' maps are updated and integrated on the cloud, enabling users who enter an unfamiliar parking facility for the first time to access shared map data on the cloud.

  • Cross-Floor Autonomous Parking (CFAP)

    As an advanced version of MPA and AVP, CFAP enables both functionalities in multi-level parking facilities.

Video

Selected Feature Demonstrations

Low-speed Parking Solutions
  • Automated Parking Assist

    Remote Parking Assist

    Automated Valet Parking

    Memory Parking Assist

    Cross-floor Autonomous Parking

Main solutions

Hardware Platform
Senor Architecture
Function List

TDA4+TC397

4V12U

AVM/PDC/APA/RPA/TBA

TDA4

4V12U

AVM, PDC & APA

TDA4

4V12U

AVM, PDC & [APA]

blacksesame-A1000 + RH850(U2A8)

4V12U

PDC, APA & RPA &HPA&TBA

TDA4

1V

NVPW

Horizon J5×2

Horizon J6M×2

11V5L

AEB, City NOA,Highway NOA

Horizon J6M×2

7V7L

AEB, City NOA,Highway NOA

Horizon J6M×2 +J6M ×1

7V4L

AEB, City NOA,Highway NOA

QCOM 8155

1V

Distraction Detection

Drowsiness Detection

Phone Call Distraction Detection

Face Recognition

QCOM 8155

1V




Gesture Detection

Residue Detection

Child Presence Detection

Emotion Detection

OMNIVISION

1V

Distraction Detection

Drowsiness Detection

Phone Call Distraction Detection

Face Recognition

DDAW

X9HP

1V

Distraction Detection

Drowsiness Detection

Phone Call Distraction Detection

Face Recognition

DDAW

J6M

11V5R

LDW,AEB,ELK,BSD,DOW,RCTA,LKA,TSR,NOA_Highway,APA

Xavier+TC397

6V5R12U

ACC,TAJ,ICA,AEB,FCWLDW,LKA,ISA,BSD,LCA,RCTA,RCW

AVM,PDC,APA,DMS

TDA4

5V5R12U

ACC,TAJ,ICA,AEB,FCWLDW,LKA,ISA,BSD,LCA,RCTA,RCW

APA,PDC

Axera M55

1V

Distraction Detection

Drowsiness Detection

Phone Call Distraction Detection

Face Recognition

DDAW

QCOM 6125

1V

Distraction Detection

Drowsiness Detection

Phone Call Distraction Detection

Face Recognition

DDAW

QCOM 6125

1V

Distraction Detection

Drowsiness Detection

Phone Call Distraction Detection

Face Recognition

DDAW