Wenyan Ci
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View article: Multi-module enhanced low-light object detection: From image enhancement to adaptive feature fusion
Multi-module enhanced low-light object detection: From image enhancement to adaptive feature fusion Open
View article: A Novel Method for Road Anomaly Objects Detection in the Traffic Environment With Multi-Mechanism Fusion
A Novel Method for Road Anomaly Objects Detection in the Traffic Environment With Multi-Mechanism Fusion Open
In the modern automotive industry, Advanced Driving Assistance Systems (ADAS) have gradually become a standard feature in various types of vehicles, with the important function of detecting road anomalies. The appearance of anomalies on th…
View article: Multiclass objects detection algorithm using DarkNet-53 and DenseNet for intelligent vehicles
Multiclass objects detection algorithm using DarkNet-53 and DenseNet for intelligent vehicles Open
Intelligent vehicles should not only be able to detect various obstacles, but also identify their categories so as to take an appropriate protection and intervention. However, the scenarios of object detection are usually complex and chang…
View article: A Novel Method for Obstacle Detection in Front of Vehicles Based on the Local Spatial Features of Point Cloud
A Novel Method for Obstacle Detection in Front of Vehicles Based on the Local Spatial Features of Point Cloud Open
Obstacle detection is the primary task of the Advanced Driving Assistance System (ADAS). However, it is very difficult to achieve accurate obstacle detection in complex traffic scenes. To this end, this paper proposes an obstacle detection…
View article: A Novel Method for Unexpected Obstacle Detection in the Traffic Environment Based on Computer Vision
A Novel Method for Unexpected Obstacle Detection in the Traffic Environment Based on Computer Vision Open
Obstacle detection is the basis for the Advanced Driving Assistance System (ADAS) to take obstacle avoidance measures. However, it is a very essential and challenging task to detect unexpected obstacles on the road. To this end, an unexpec…
View article: Thermoeconomic Optimization Design of the ORC System Installed on a Light-Duty Vehicle for Waste Heat Recovery from Exhaust Heat
Thermoeconomic Optimization Design of the ORC System Installed on a Light-Duty Vehicle for Waste Heat Recovery from Exhaust Heat Open
The organic Rankine cycle (ORC) has been widely studied to recover waste heat from internal combustion engines in commercial on-road vehicles. To achieve a cost-effective ORC, a trade-off between factors such as costs, power outputs, back …
View article: Unsupervised Learning of Monocular Depth and Ego-Motion with Optical Flow Features and Multiple Constraints
Unsupervised Learning of Monocular Depth and Ego-Motion with Optical Flow Features and Multiple Constraints Open
This paper proposes a novel unsupervised learning framework for depth recovery and camera ego-motion estimation from monocular video. The framework exploits the optical flow (OF) property to jointly train the depth and the ego-motion model…
View article: Fast and Low-Drift Visual Odometry With Improved RANSAC-Based Outlier Removal Scheme for Intelligent Vehicles
Fast and Low-Drift Visual Odometry With Improved RANSAC-Based Outlier Removal Scheme for Intelligent Vehicles Open
Visual odometry estimates the ego-motion of a vehicle using only the input of a single or multiple cameras mounted on the vehicle. This paper focuses on the research of the stereo visual odometry system of intelligent vehicles, and discuss…
View article: An Anti-occlusion and Scale Adaptive Kernel Correlation Filter for Visual Object Tracking
An Anti-occlusion and Scale Adaptive Kernel Correlation Filter for Visual Object Tracking Open
Focusing on the issue that the conventional Kernel Correlation Filter (KCF) algorithm has poor performance in handling scale change and obscured objects, this paper proposes an anti-occlusion and scale adaptive tracking algorithm in the ba…
View article: Abnormal event detection in crowded scenes using histogram of oriented contextual gradient descriptor
Abnormal event detection in crowded scenes using histogram of oriented contextual gradient descriptor Open
View article: Obstacle and Free Space Detection Based on U-V-Disparity
Obstacle and Free Space Detection Based on U-V-Disparity Open
This paper presents a novel method for obstacle and free space detection for intelligent vehicles by using U-V-disparity of stereovision. The U-V-disparity map is generated by calculating the histogram of the disparities with regards to th…
View article: A Robust Method for Ego-Motion Estimation in Urban Environment Using Stereo Camera
A Robust Method for Ego-Motion Estimation in Urban Environment Using Stereo Camera Open
Visual odometry estimates the ego-motion of an agent (e.g., vehicle and robot) using image information and is a key component for autonomous vehicles and robotics. This paper proposes a robust and precise method for estimating the 6-DoF eg…