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 1571–1580 of 2605 papers

TitleStatusHype
Self-Supervised Camera Self-Calibration from Video—0
A Risk-Averse Preview-based Q-Learning Algorithm: Application to Highway Driving of Autonomous Vehicles—0
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous CarCode1
Learning a Robust Multiagent Driving Policy for Traffic Congestion ReductionCode0
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction—0
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving—0
Querying Labelled Data with Scenario Programs for Sim-to-Real Validation—0
Point Cloud Segmentation Using Sparse Temporal Local Attention—0
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
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Benchmark Results

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