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 981–990 of 2605 papers

TitleStatusHype
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization—0
Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology—0
MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes—0
Quantifying Uncertainty in Motion Prediction with Variational Bayesian MixtureCode0
Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression—0
Towards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation—0
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel PriorCode0
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks—0
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks—0
HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes—0
Show:102550
← PrevPage 99 of 261Next →

Benchmark Results

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