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 541550 of 2605 papers

TitleStatusHype
How Do We Fail? Stress Testing Perception in Autonomous VehiclesCode0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
High-Resolution Traffic Sensing with Autonomous VehiclesCode0
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object ClassificationCode0
Horus: Using Sensor Fusion to Combine Infrastructure and On-board Sensing to Improve Autonomous Vehicle SafetyCode0
Increasing performance of electric vehicles in ride-hailing services using deep reinforcement learningCode0
Adaptive Splitting of Reusable Temporal Monitors for Rare Traffic ViolationsCode0
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver HandsCode0
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action PredictionCode0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
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Benchmark Results

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