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

Showing 10311040 of 2605 papers

TitleStatusHype
Dual Formulation for Chance Constrained Stochastic Shortest Path with Application to Autonomous Vehicle Behavior Planning0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems0
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving0
BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction0
A New Era of Mobility: Exploring Digital Twin Applications in Autonomous Vehicular Systems0
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving0
DSCnet: Replicating Lidar Point Clouds with Deep Sensor Cloning0
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning0
Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China0
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Benchmark Results

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