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 2261–2270 of 2605 papers

TitleStatusHype
A Hybrid Compact Neural Architecture for Visual Place RecognitionCode0
Dynamic Graph Configuration with Reinforcement Learning for Connected Autonomous Vehicle Trajectories—0
FuseMODNet: Real-Time Camera and LiDAR based Moving Object Detection for robust low-light Autonomous Driving—0
Autonomous Driving using Safe Reinforcement Learning by Incorporating a Regret-based Human Lane-Changing Decision Model—0
Intention Recognition of Pedestrians and Cyclists by 2D Pose EstimationCode0
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression—0
Improving Map Re-localization with Deep 'Movable' Objects Segmentation on 3D LiDAR Point Clouds—0
Risk-Aware Reasoning for Autonomous Vehicles—0
High-Resolution Traffic Sensing with Autonomous VehiclesCode0
Bayesian Learning-Based Adaptive Control for Safety Critical SystemsCode0
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Benchmark Results

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