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
Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon—0
Decision Making for Autonomous Vehicles—0
aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System—0
Flow-level Coordination of Connected and Autonomous Vehicles in Multilane Freeway Ramp Merging Areas—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
A Robust Pedestrian Detection Approach for Autonomous Vehicles—0
Decision-making at Unsignalized Intersection for Autonomous Vehicles: Left-turn Maneuver with Deep Reinforcement Learning—0
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Benchmark Results

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