SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

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Showing 741–750 of 2605 papers

TitleStatusHype
A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic Environment—0
3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results—0
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator—0
A Real-Time DETR Approach to Bangladesh Road Object Detection for Autonomous Vehicles—0
Characterization and Mitigation of Insufficiencies in Automated Driving Systems—0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms—0
Channel Boosting Feature Ensemble for Radar-based Object Detection—0
Channel-Aware Throughput Maximization for Cooperative Data Fusion in CAV—0
Challenges of YOLO Series for Object Detection in Extremely Heavy Rain: CALRA Simulator based Synthetic Evaluation Dataset—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified