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 371–380 of 2605 papers

TitleStatusHype
Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNsCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban EnvironmentsCode1
A Baseline for the Commands For Autonomous Vehicles ChallengeCode1
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory RasterizationCode1
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsCode1
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental StudyCode1
TensorFI: A Flexible Fault Injection Framework for TensorFlow ApplicationsCode1
Predicting Semantic Map Representations from Images using Pyramid Occupancy NetworksCode1
Explainable Object-induced Action Decision for Autonomous VehiclesCode1
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Benchmark Results

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