A5024712072- Autonomous Vehicle Technology and Safety
- Robotics and Sensor-Based Localization
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Neural Network Applications
- Chemical Looping and Thermochemical Processes
- Traffic Prediction and Management Techniques
- Advanced Optical Sensing Technologies
- Guidance and Control Systems
- Carbon Dioxide Capture Technologies
- Target Tracking and Data Fusion in Sensor Networks
- Robotic Path Planning Algorithms
- Climate Change Policy and Economics
- Video Surveillance and Tracking Methods
- Traffic control and management
- Software Testing and Debugging Techniques
- Indoor and Outdoor Localization Technologies
University of California, Riverside
2021-2023
Connected and Automated Vehicle (CAV) research has gained traction in the last decade due to significant advancements perception, navigation, communication, control functions. Accurate reliable position information is needed meet requirements of CAV applications, especially when safety concerned. With advent various perception sensors (e.g. camera, LiDAR, etc.), vehicular positioning system improved both accuracy robustness. Vehicle-to-Vehicle (V2V) Vehicle-to-Infrastructure (V2I) based...
Object perception plays a fundamental role in Cooperative Driving Automation (CDA) which is regarded as revolutionary promoter for next-generation transportation systems. However, the vehicle-based may suffer from limited sensing range and occlusion well low penetration rates connectivity. In this paper, we propose Cyber Mobility Mirror (CMM), real-world object system 3D detection, tracking, localization, reconstruction, to explore potential of roadside sensors enabling CDA real world. The...
Connected and Automated Vehicle (CAV) research has gained significant popularity in the last decade. state estimation is a key component realizing safety-related CAV applications that requires 'where-in-lane' level positioning accuracy ( < 0.3 meters). Vehicle-to-everything (V2X) information can assist conventional Global Navigation Satellite System (GNSS) positioning. In particular, Infrastructure-to-vehicle (I2V) solution decrease dependency on vehicular sensors by leveraging...
View Video Presentation: https://doi.org/10.2514/6.2021-1765.vid This paper studies a differential game problem involving three agents namely Attacker, Defender, and Target. The defender uses the concept of Apollonius circle inversion to intercept high speed attacker before it can reach non-moving target. presents geometric inverse guidance strategy for slow moving which mimics trajectory inside reference hence ensures interception attacker. also discusses possibility target by without...
Vehicle positioning and tracking is a key component of Intelligent Transportation Systems (ITS). Cooperative techniques through vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2I) information sharing can improve the existing proprioceptive based systems such as Global Navigation Satellite System (GNSS) which are prone to errors due urban canyons, signal jamming, etc. V2V-based might not fulfill all needs, given low Connected Automated (CAV) penetration in today's traffic. In these...
Object perception plays a fundamental role in Cooperative Driving Automation (CDA) which is regarded as revolutionary promoter for the next-generation transportation systems. However, vehicle-based may suffer from limited sensing range and occlusion well low penetration rates connectivity. In this paper, we propose Cyber Mobility Mirror (CMM), real-time traffic surveillance system 3D object reconstruction, to explore potential of roadside sensors enabling CDA real world. The CMM consists six...