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 150 of 2605 papers

TitleStatusHype
A Survey on Vision-Language-Action Models for Autonomous DrivingCode4
Pseudo-Simulation for Autonomous DrivingCode4
Building reliable sim driving agents by scaling self-playCode4
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion PerspectiveCode4
TUMTraf V2X Cooperative Perception DatasetCode4
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous DrivingCode4
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
GroundGrid:LiDAR Point Cloud Ground Segmentation and Terrain EstimationCode3
CarDreamer: Open-Source Learning Platform for World Model based Autonomous DrivingCode3
RoadBEV: Road Surface Reconstruction in Bird's Eye ViewCode3
Scaling Diffusion Models to Real-World 3D LiDAR Scene CompletionCode3
Explicit Interaction for Fusion-Based Place RecognitionCode3
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous DrivingCode3
Accelerating 3D Deep Learning with PyTorch3DCode3
Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario AnalysisCode2
GaussRender: Learning 3D Occupancy with Gaussian RenderingCode2
Stag-1: Towards Realistic 4D Driving Simulation with Video Generation ModelCode2
Distilling Diffusion Models to Efficient 3D LiDAR Scene CompletionCode2
GSPR: Multimodal Place Recognition Using 3D Gaussian Splatting for Autonomous DrivingCode2
Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making FrameworkCode2
SeFlow: A Self-Supervised Scene Flow Method in Autonomous DrivingCode2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam VideosCode2
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous VehiclesCode2
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural RepresentationCode2
Toward Unified Practices in Trajectory Prediction Research on Bird's-Eye-View DatasetsCode2
VBR: A Vision Benchmark in RomeCode2
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object DetectionCode2
Certified Human Trajectory PredictionCode2
SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion PredictionCode2
MonoOcc: Digging into Monocular Semantic Occupancy PredictionCode2
Open-World Semantic Segmentation Including Class SimilarityCode2
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy PredictionCode2
PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving EnvironmentsCode2
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object DetectionCode2
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous DrivingCode2
GPT-Driver: Learning to Drive with GPTCode2
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsCode2
trajdata: A Unified Interface to Multiple Human Trajectory DatasetsCode2
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD MappingCode2
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative PerceptionCode2
Query-Centric Trajectory PredictionCode2
CC-3DT: Panoramic 3D Object Tracking via Cross-Camera FusionCode2
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map GenerationCode2
BITS: Bi-level Imitation for Traffic SimulationCode2
LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of VehiclesCode2
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
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Benchmark Results

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