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 1661–1670 of 2605 papers

TitleStatusHype
Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas—0
Merging Control Strategies of Connected and Autonomous Vehicles at Freeway On-Ramps: A Comprehensive Review—0
Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset—0
Transferable and Adaptable Driving Behavior Prediction—0
Intelligent Autonomous Intersection Management—0
Real-time decision-making for autonomous vehicles under faults—0
Causal Scene BERT: Improving object detection by searching for challenging groups of data—0
Indy Autonomous Challenge -- Autonomous Race Cars at the Handling Limits—0
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving—0
Two-Dimensional Arbitrary Angle of Arrival in Radar Target Simulation—0
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Benchmark Results

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