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

Showing 421430 of 2605 papers

TitleStatusHype
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random FieldCode0
Multi-Agent Imitation Learning for Driving SimulationCode0
ManeuverGPT Agentic Control for Safe Autonomous Stunt ManeuversCode0
MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental PerceptionCode0
Low-latency Perception in Off-Road Dynamical Low Visibility EnvironmentsCode0
M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR DataCode0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
A Multi-modal Fusion Network for Terrain Perception Based on Illumination AwareCode0
Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoVCode0
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature IntegrationCode0
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Benchmark Results

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