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Marcelo Ang

6 accepted papers

2022

Drone with Pneumatic-tethered Suction-based Perching Mechanism for High Payload Application

IROS 2022poster

Concrete infrastructures provide the means to connect cities and transport people and goods. They require regular inspection to assess their current conditions. Aerial work platforms and underbridge platforms or scaffolding are the common equipment used for inspection of elevated infrastructure. The…

Cited by 6SourceScholar
2021

Autonomous Navigation in Dynamic Environments with Multi-Modal Perception Uncertainties

ICRA 2021poster

This paper addresses the safe path planning problem for autonomous mobility with multi-modal perception uncertainties. Specifically, we assume that different sensor inputs lead to different Gaussian process regulated perception uncertainties (named as multi-modal perception uncertainties). We implem…

Cited by 5SourceScholar
2021

Deep Imitation Learning for Autonomous Navigation in Dynamic Pedestrian Environments

ICRA 2021poster

Navigation through dynamic pedestrian environments in a socially compliant manner is still a challenging task for autonomous vehicles. Classical methods usually lead to unnatural vehicle behaviours for pedestrian navigation due to the difficulty in modeling social conventions mathematically. This pa…

Cited by 19SourceScholar
2021

Group Multi-Object Tracking for Dynamic Risk Map and Safe Path Planning

IROS 2021poster

This paper studies the group multi-object tracking (MOT) problem in dynamic pedestrian environments, with intended application to safe navigation for autonomous vehicles. We complete a full autonomous vehicle navigation pipeline from object detection, tracking, grouping, to risk map generation and s…

Cited by 5SourceScholar
2020

Safe Path Planning with Multi-Model Risk Level Sets

IROS 2020poster

This paper investigates the safe path planning problem for an autonomous vehicle operating in unstructured, cluttered environments. While some objects may be accurately with canonical perception algorithms, other objects and clutter may be harder to track. We present an approach that combines two me…

Cited by 9SourceScholar
2019

Safe Path Planning with Gaussian Process Regulated Risk Map

IROS 2019poster

Government data identifies driver behaviour errors as a factor in 94% of car crashes, and autonomous vehicles (AVs), which avoids risky driver behaviours completely, are expected to reduce the number of road crashes significantly. Thus, one of the central focuses of developing AVs is to ensure safet…

Cited by 15SourceScholar