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 2326–2350 of 2605 papers

TitleStatusHype
G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction SystemCode0
Radiance Field Delta Video Compression in Edge-Enabled Vehicular MetaverseCode0
Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous VehiclesCode0
Multi-Agent Imitation Learning for Driving SimulationCode0
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver HandsCode0
STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world DatasetCode0
Enhanced free space detection in multiple lanes based on single CNN with scene identificationCode0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
Naturalistic Driver Intention and Path Prediction using Recurrent Neural NetworksCode0
Grounding Linguistic Commands to Navigable RegionsCode0
A Low-cost Fault Corrector for Deep Neural Networks through Range RestrictionCode0
Cooperation-Aware Reinforcement Learning for Merging in Dense TrafficCode0
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented RealityCode0
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object DetectionCode0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory PredictionCode0
Scope Compliance Uncertainty EstimateCode0
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based NetworksCode0
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action PredictionCode0
Autonomous Vehicle Control: End-to-end Learning in Simulated Urban EnvironmentsCode0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random FieldCode0
Energy Consumption Analysis of pruned Semantic Segmentation Networks on an Embedded GPUCode0
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State PerturbationCode0
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution EnvironmentsCode0
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Benchmark Results

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