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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 691–700 of 2605 papers

TitleStatusHype
Detecting Adversarial Attacks on Neural Network Policies with Visual ForesightCode0
Distillation as a Defense to Adversarial Perturbations against Deep Neural NetworksCode0
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial RepresentationsCode0
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality MetaversesCode0
Recurrent Flow-Guided Semantic ForecastingCode0
Coherent, super resolved radar beamforming using self-supervised learning—0
A Robust Pedestrian Detection Approach for Autonomous Vehicles—0
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration—0
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles—0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems—0
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Benchmark Results

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