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 426450 of 2605 papers

TitleStatusHype
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution EnvironmentsCode0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random FieldCode0
ManeuverGPT Agentic Control for Safe Autonomous Stunt ManeuversCode0
MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental PerceptionCode0
A Multi-modal Fusion Network for Terrain Perception Based on Illumination AwareCode0
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object ShapesCode0
Low-latency Perception in Off-Road Dynamical Low Visibility EnvironmentsCode0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
Localization and Perception for Control and Decision Making of a Low Speed Autonomous Shuttle in a Campus Pilot DeploymentCode0
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
A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection TrainingCode0
LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative LayersCode0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR DataCode0
LiDAR-Camera Calibration using 3D-3D Point correspondencesCode0
ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous VehiclesCode0
Learning to Map Vehicles into Bird's Eye ViewCode0
Multi-Agent Imitation Learning for Driving SimulationCode0
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path PredictionCode0
3D Traffic Simulation for Autonomous Vehicles in Unity and PythonCode0
Leveraging Shape Completion for 3D Siamese TrackingCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory PredictionCode0
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Benchmark Results

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