Rendong Pi

The Hong Kong Polytechnic University | PolyU

Tracking road users with high resolution is important for connected vehicles. Due to the complicated environments, tracking objects with a single sensor could not meet the requirements of high-resolution trajectories due to occlusions. How to acquire accurate and complete trajectories based on multi-source data is a major challenge for researchers...

Object occlusion is a common issue in Light Detection and Ranging (LiDAR)-based vehicle tracking technology. The occlusions can cause variance in vehicle location and speed calculation. How to link the vehicle trajectories caused by occlusion issues is a challenge for traffic engineers and researchers. This paper developed an augmented vehicle trac...

Multi-vehicle (MV) crashes, which can lead to great damages to society, have always been a serious issue for traffic safety. A further understanding of crash severity can help transportation engineers identify the critical reasons and find effective countermeasures to improve transportation safety. However, studies involving methods of machine lear...

How to exclude the irrelevant information (background points) from the roadside LiDAR data and keep the objects of interest (e.g., vehicles and pedestrians) under congestions and occlusions is a challenge for LiDAR data processing. This paper developed a computation-effective point-based method for the roadside LiDAR data background filtering. The...

In the realm of crack inspection for complex infrastructures, traditional methods have primarily relied on expensive structural health monitoring instruments and labor-intensive procedures. The emergence of Unmanned Aerial Vehicle (UAV) technology brings about effective and innovative solutions for bridge inspection. To advance the technology, this...

Traditional methods on crack inspection for large infrastructures require a number of structural health inspection devices and instruments. They usually use the signal changes caused by physical deformations from cracks to detect the cracks, which is time-consuming and cost-ineffective. In this work, we propose a novel real-time crack inspection sy...

Different lighting conditions can result in accidents of different levels of severity. However, current studies lack the consideration of the heterogeneity and temporal stability of accident data under various lighting conditions. Therefore, three years’ worth of data were used to investigate the critical factors of accident severity. The random pa...

This paper implements four types of tests under three designed wet densities, including drying-wetting cycles test, freeze–thaw cycle test, water stability test, and dry shrinkage test, to analyze the strength change law of silt-based foamed concrete after a specified age or a number of cycles. Test results showed that compressive strength of silt-...

Object classification is important information for different transportation areas. This research developed a probabilistic neural network (PNN) classifier for object classification using roadside Light Detection and Ranging (LiDAR). The objective was to classify the road user on the urban road into one of four classes: Pedestrian, bicycle, passenge...

Crash severity, as a major concern in the routing and scheduling of hazardous material shipments, has caused great loss of lives and property damage every year. Although abundant studies have been conducted to identify the relationship between different factors on crash severity, the analysis of the severity of hazard material transportation (HMT)...

Roadside light detection and ranging (LiDAR) is an emerging traffic data collection device and has recently been deployed in different transportation areas. The current data processing algorithms for roadside LiDAR are usually developed assuming normal weather conditions. Adverse weather conditions, such as windy and snowy conditions, could be chal...