New Integrated Navigation Scheme for the Level 4 Autonomous Vehicles in Dense Urban Areas

Li Ta Hsu, Weisong Wen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Accurate and globally referenced positioning is fatal to the safety-critical autonomous driving vehicles (ADV). Multi-sensor integration is becoming ubiquitous for ADV to guarantee the robustness and accuracy of the navigation system. Unfortunately, the existing sensor integration systems are still heavily challenged in urban canyons, such as Tokyo and Hong Kong. The main reason behind the performance degradation is due to the varying environmental conditions, such as tall buildings and surrounded dynamic objects. GNSS receiver is an indispensable sensor for ADV, which relies heavily on the environmental conditions. The performance of GNSS can be significantly affected by signal reflections and blockages from buildings or dynamic objects. With the enhanced capability of perception, fully or partially sensing the environment real-time becomes possible using onboard sensors, such as camera or LiDAR. Inspired by the fascinating progress in perception, this paper proposes a new integrated navigation scheme, the perception aided sensor integrated navigation (PASIN). Instead of directly integrating the sensor measurements from diverse sensors, the PASIN leverages the onboard and real-time perception to assist the single measurement, such as GNSS positioning, before it is integrated with other sensors including inertial navigation systems (INS). This paper reviews several PASIN, especially on the GNSS positioning. As an example, GNSS is aided by the perception of a camera or LiDAR sensors, are conducted in dense urban canyons to validate this novel sensor integration scheme. The proposed PASINS can also be extended to LiDAR- or visual- centered navigation system in the future.

Original languageEnglish
Title of host publication2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages297-305
Number of pages9
ISBN (Electronic)9781728102443
DOIs
Publication statusPublished - Apr 2020
Event2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020 - Portland, United States
Duration: 20 Apr 202023 Apr 2020

Publication series

Name2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020

Conference

Conference2020 IEEE/ION Position, Location and Navigation Symposium, PLANS 2020
CountryUnited States
CityPortland
Period20/04/2023/04/20

Keywords

  • Autonomous Driving Vehicle
  • Camera
  • GNSS
  • LiDAR
  • PASIN
  • Perception
  • Positioning
  • Urban canyon

ASJC Scopus subject areas

  • Signal Processing
  • Aerospace Engineering
  • Control and Optimization
  • Instrumentation

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