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A survey on approximate edge AI for energy efficient autonomous driving services
Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …
[HTML][HTML] Addressing the Gaps of IoU Loss in 3D Object Detection with IIoU
N Ravi, M El-Sharkawy - Future Internet, 2023 - mdpi.com
Three-dimensional object detection involves estimating the dimensions, orientations, and
locations of 3D bounding boxes. Intersection of Union (IoU) loss measures the overlap …
locations of 3D bounding boxes. Intersection of Union (IoU) loss measures the overlap …
Analyzing and mitigating bias for vulnerable classes: Towards balanced representation in dataset
The accuracy and fairness of perception systems in autonomous driving are essential,
especially for vulnerable road users such as cyclists, pedestrians, and motorcyclists who …
especially for vulnerable road users such as cyclists, pedestrians, and motorcyclists who …
Approximating vision transformers for edge: variational inference and mixed-precision for multi-modal data
Vision transformer (ViTs) models have shown higher accuracy, robustness and large volume
data processing ability, creating new baselines and references for perception tasks …
data processing ability, creating new baselines and references for perception tasks …
Approximation Strategies for Vision Models on Edge Devices: An Accuracy-Efficiency Trade-off
Autonomous applications having AI models and algorithms as backbone require high-
performance computational and memory resources for efficient deployment and data …
performance computational and memory resources for efficient deployment and data …