Path tracking failure analysis of an autoware teaching vehicle in real world environments

This paper presents a systematic experimental analysis of path tracking failures in an Autoware-based teaching vehicle during turning maneuvers, using RTK-GPS trajectory data from 11 real-world runs. Three categories of failure sources are identified and quantified. Procedural sources (manual initialization inaccuracy) produce a straight-line drift of 5.685 m and a turn entry lateral error of 1.693 m. Environmental sources reveal that left-turn and right-turn curves have nearly identical radii ( \(\approx \) 11 m), but the narrower right-turn exit (4 m vs. 6 m) reduces lateral clearance to 1.1 m. Algorithmic sources show that the Pure Pursuit controller’s fixed lookahead distance (1.5 m) mismatches natural speed variation (7–9 km/h on straights, <3 km/h in curves), causing turn entry lag and 96% error growth. When error exceeds the lookahead distance, the controller enters positive feedback, producing a commanded curvature of 18.116 m \(^{-1}\) —61 times the vehicle’s physical limit (0.297 m \(^{-1}\) )—and the vehicle decelerates from 12.6 km/h to 0. The main contribution is a quantitative demonstration of a deterministic cascading failure chain: localization deviation, lateral error accumulation, lookahead violation, curvature explosion, steering saturation, and velocity collapse. This reveals that Autoware’s failure is not a single-source fault but a system-level coupling failure with positive feedback.

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Publication Details

Journal
Discover Applied Sciences
Published
2026-09-30
DOI
https://doi.org/10.1007/s42452-026-09637-3
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
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Path tracking failure analysis of an autoware teaching vehicle in real world environments

Mei Cao, Ying Luo, Ruijie Ma
Discover Applied Sciences
Vehicle Dynamics and Control Systems
article

Path tracking failure analysis of an autoware teaching vehicle in real world environments

Mei Cao, Ying Luo, Ruijie Ma
article en

Abstract

This paper presents a systematic experimental analysis of path tracking failures in an Autoware-based teaching vehicle during turning maneuvers, using RTK-GPS trajectory data from 11 real-world runs. Three categories of failure sources are identified and quantified. Procedural sources (manual initialization inaccuracy) produce a straight-line drift of 5.685 m and a turn entry lateral error of 1.693 m. Environmental sources reveal that left-turn and right-turn curves have nearly identical radii ( \(\approx \) 11 m), but the narrower right-turn exit (4 m vs. 6 m) reduces lateral clearance to 1.1 m. Algorithmic sources show that the Pure Pursuit controller’s fixed lookahead distance (1.5 m) mismatches natural speed variation (7–9 km/h on straights, <3 km/h in curves), causing turn entry lag and 96% error growth. When error exceeds the lookahead distance, the controller enters positive feedback, producing a commanded curvature of 18.116 m \(^{-1}\) —61 times the vehicle’s physical limit (0.297 m \(^{-1}\) )—and the vehicle decelerates from 12.6 km/h to 0. The main contribution is a quantitative demonstration of a deterministic cascading failure chain: localization deviation, lateral error accumulation, lookahead violation, curvature explosion, steering saturation, and velocity collapse. This reveals that Autoware’s failure is not a single-source fault but a system-level coupling failure with positive feedback.

Discover Applied Sciences
Nantong University (CN)
Openalex Percentile: Top 20%
Vehicle Dynamics and Control Systems
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