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 1741–1750 of 2605 papers

TitleStatusHype
Safe Deep Q-Network for Autonomous Vehicles at Unsignalized Intersection—0
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance—0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation—0
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles—0
Deterministic Iteratively Built KD-Tree with KNN Search for Exact ApplicationsCode0
Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
Spectral Temporal Graph Neural Network for Trajectory Prediction—0
A C-V2X Platform Using Transportation Data and Spectrum-Aware Sidelink Access—0
PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21)—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
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Benchmark Results

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