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 611–620 of 2605 papers

TitleStatusHype
Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers—0
Leveraging PointNet and PointNet++ for Lyft Point Cloud Classification Challenge—0
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty QuantificationCode0
Self-training superconducting neuromorphic circuits using reinforcement learning rules—0
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation—0
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic EnvironmentsCode1
Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion—0
Dense Road Surface Grip Map Prediction from Multimodal Image Data—0
On the Federated Learning Framework for Cooperative Perception—0
Redefining Safety for Autonomous Vehicles—0
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Benchmark Results

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