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 1831–1840 of 2605 papers

TitleStatusHype
Coherent, super resolved radar beamforming using self-supervised learning—0
Cylindrical coordinates for LiDAR point cloud compression—0
Place recognition survey: An update on deep learning approaches—0
AttDLNet: Attention-based DL Network for 3D LiDAR Place RecognitionCode0
CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingCode0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception—0
Deterministic Guided LiDAR Depth Map Completion—0
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles—0
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles—0
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Benchmark Results

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