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

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Showing 301–350 of 2605 papers

TitleStatusHype
Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous VehiclesCode1
MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of VehiclesCode1
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained AutoencoderCode1
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environmentsCode1
Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed TrafficCode1
Coupling Intent and Action for Pedestrian Crossing Behavior PredictionCode1
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous DrivingCode1
Adversarial Example Detection for DNN Models: A Review and Experimental ComparisonCode1
Lane Graph Estimation for Scene Understanding in Urban DrivingCode1
Maneuver-Aware Pooling for Vehicle Trajectory PredictionCode1
MinkLoc++: Lidar and Monocular Image Fusion for Place RecognitionCode1
Raindrops on Windshield: Dataset and Lightweight Gradient-Based Detection AlgorithmCode1
Multimodal Object Detection via Probabilistic EnsemblingCode1
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous DrivingCode1
Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous DrivingCode1
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point CloudCode1
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic EventsCode1
S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object DetectionCode1
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial AttackCode1
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research ChallengesCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
Scalable Scene Flow from Point Clouds in the Real WorldCode1
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change DetectionCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
ROAD: The ROad event Awareness Dataset for Autonomous DrivingCode1
Robust Lane Detection via Expanded Self AttentionCode1
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
Object Tracking by Detection with Visual and Motion CuesCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
Non-linear State-space Model Identification from Video Data using Deep EncodersCode1
Video Deblurring by Fitting to Test DataCode1
Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String StabilityCode1
Understanding Bird's-Eye View of Road Semantics using an Onboard CameraCode1
Detecting 32 Pedestrian Attributes for Autonomous VehiclesCode1
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-SupervisionCode1
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous EnvironmentsCode1
Polarization-driven Semantic Segmentation via Efficient Attention-bridged FusionCode1
Emergent Road Rules In Multi-Agent Driving EnvironmentsCode1
Robust super-resolution depth imaging via a multi-feature fusion deep networkCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
GndNet: Fast Ground Plane Estimation and Point Cloud Segmentation for Autonomous VehiclesCode1
CenterFusion: Center-based Radar and Camera Fusion for 3D Object DetectionCode1
End-to-end Lane Shape Prediction with TransformersCode1
Trajectory Planning for Autonomous Vehicles Using Hierarchical Reinforcement LearningCode1
Optimizing Mixed Autonomy Traffic Flow With Decentralized Autonomous Vehicles and Multi-Agent RLCode1
Keep your Eyes on the Lane: Real-time Attention-guided Lane DetectionCode1
Pedestrian Intention Prediction: A Multi-task PerspectiveCode1
RONELD: Robust Neural Network Output Enhancement for Active Lane DetectionCode1
Neural circuit policies enabling auditable autonomyCode1
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Benchmark Results

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