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

Showing 19111920 of 2605 papers

TitleStatusHype
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation0
Video Deblurring by Fitting to Test DataCode1
Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String StabilityCode1
Understanding Bird's-Eye View of Road Semantics using an Onboard CameraCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action PredictionCode0
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks0
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-SupervisionCode1
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization0
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Benchmark Results

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