Cml-mots: Collaborative multi-task learning for multi-object tracking and segmentation
The advancement of computer vision has pushed visual analysis tasks from still images to
the video domain. In recent years, video instance segmentation, which aims to track and …
the video domain. In recent years, video instance segmentation, which aims to track and …
Malicious Attacks against Multi-Sensor Fusion in Autonomous Driving
Multi-sensor fusion has been widely used by autonomous vehicles (AVs) to integrate the
perception results from different sensing modalities including LiDAR, camera and radar …
perception results from different sensing modalities including LiDAR, camera and radar …
Collaborative multi-task learning for multi-object tracking and segmentation
The advancement of computer vision has pushed visual analysis tasks from still images to
the video domain. In recent years, video instance segmentation, which aims at tracking and …
the video domain. In recent years, video instance segmentation, which aims at tracking and …
Edge Intelligence for Internet of Vehicles: A Survey
The Internet of Vehicles (IoV) has become a fundamental platform for advancing Intelligent
Transportation Systems (ITSs) and Intelligent Connected Vehicles (ICVs). However, the …
Transportation Systems (ITSs) and Intelligent Connected Vehicles (ICVs). However, the …
Compositional mixed-criticality systems with multiple executions and resource-budgets model
Software reusability and system modularity are key features of modern autonomous
systems. As a consequence, there is a rapid shift towards hierarchical and compositional …
systems. As a consequence, there is a rapid shift towards hierarchical and compositional …
SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving
Visual-based perception is the key module for autonomous driving. Among those visual
perception tasks, video object detection is a primary yet challenging one because of feature …
perception tasks, video object detection is a primary yet challenging one because of feature …
Stepwise Spatial Global-local Aggregation Networks for Autonomous Driving
Visual-based perception is the key module for autonomous driving. Among those visual
perception tasks, video object detection is a primary yet challenging one because of feature …
perception tasks, video object detection is a primary yet challenging one because of feature …
Brief Industry Paper: Real-Time Image Dehazing for Automated Vehicles
Y Tan, Y Zhu, Z Huang, H Tan… - 2023 IEEE Real-Time …, 2023 - ieeexplore.ieee.org
Autonomous vehicles at L2 and above are increasingly relying on stereo vision systems,
where haze removal is critical to detect obstacles hidden in fog. Existing image dehazing …
where haze removal is critical to detect obstacles hidden in fog. Existing image dehazing …
Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles
Vehicular Edge computing requires computational power from connected Edge devices in
the network to process incoming vehicle work requests. This connection and offloading …
the network to process incoming vehicle work requests. This connection and offloading …
Impact of Delays and Computation Placement on Sense-Act Application Performance in IoT
P Sharma, MB Srivastava - MILCOM 2023-2023 IEEE Military …, 2023 - ieeexplore.ieee.org
This paper investigates the challenges posed by delays in Closed-Loop Sense-Act Systems
in the context of Adversarial Internet of Things (IoT) applications. Prior work focused on …
in the context of Adversarial Internet of Things (IoT) applications. Prior work focused on …