Research on the testing of navigate-on-autopilot system based on ramp scenario

In order to study the performance of the Navigate on Autopilot System in high-speed ramp diversion scenarios, two scenarios of no interfering vehicles at the off-ramp and stationary vehicles at the off-ramp were selected in this study, and the test data of three representative vehicles were selected among more than 18 test vehicles to be analysed, and suggestions for improvement were made.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054637
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Research on the testing of navigate-on-autopilot system based on ramp scenario

Yaqi Wu, Changlu Zhang, He Wang, Tao Li
Robotic Path Planning Algorithms
article

Research on the testing of navigate-on-autopilot system based on ramp scenario

Yaqi Wu, Changlu Zhang, He Wang, Tao Li
article en

Abstract

In order to study the performance of the Navigate on Autopilot System in high-speed ramp diversion scenarios, two scenarios of no interfering vehicles at the off-ramp and stationary vehicles at the off-ramp were selected in this study, and the test data of three representative vehicles were selected among more than 18 test vehicles to be analysed, and suggestions for improvement were made.

China Automotive Technology and Research Center (CN)
Openalex Percentile: Top 77%
Robotic Path Planning Algorithms
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