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 1901–1925 of 2605 papers

TitleStatusHype
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Low-latency Perception in Off-Road Dynamical Low Visibility EnvironmentsCode0
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning—0
Computer Vision based Animal Collision Avoidance Framework for Autonomous Vehicles—0
Computer Vision based Accident Detection for Autonomous Vehicles—0
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems—0
Practical Auto-Calibration for Spatial Scene-Understanding from Crowdsourced Dashcamera Videos—0
Non-linear State-space Model Identification from Video Data using Deep EncodersCode1
Next Wave Artificial Intelligence: Robust, Explainable, Adaptable, Ethical, and Accountable—0
Artificial Intelligence at the Edge—0
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation—0
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
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action PredictionCode0
Pedestrian Trajectory Prediction using Context-Augmented Transformer Networks—0
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-SupervisionCode1
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning—0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization—0
Why model why? Assessing the strengths and limitations of LIMECode0
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous EnvironmentsCode1
Polarization-driven Semantic Segmentation via Efficient Attention-bridged FusionCode1
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field—0
Quantized Neural Networks for Radar Interference Mitigation—0
Show:102550
← PrevPage 77 of 105Next →

Benchmark Results

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