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 1311–1320 of 2605 papers

TitleStatusHype
On-line Motion Planning Using Bernstein Polynomials for Enhanced Target Localization in Autonomous Vehicles—0
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios—0
Dense Prediction Transformer for Scale Estimation in Monocular Visual OdometryCode1
LOPR: Latent Occupancy PRediction using Generative ModelsCode1
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection—0
Energy Efficient Hardware Acceleration of Neural Networks with Power-of-Two Quantisation—0
NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving—0
RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical FlowCode0
V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything PerceptionCode1
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments—0
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Benchmark Results

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