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 1011–1020 of 2605 papers

TitleStatusHype
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections—0
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios—0
A new platooning model for connected and autonomous vehicles to improve string stability—0
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories—0
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks—0
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs—0
FluidML: Fast and Memory Efficient Inference Optimization—0
FMM-X3D: FPGA-based modeling and mapping of X3D for Human Action Recognition—0
Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection—0
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?—0
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Benchmark Results

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