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 551560 of 2605 papers

TitleStatusHype
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image RestorationCode0
HandyNet: A One-stop Solution to Detect, Segment, Localize & Analyze Driver HandsCode0
Forecasting Pedestrian Trajectory with Machine-Annotated Training DataCode0
Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithmCode0
High-Resolution Traffic Sensing with Autonomous VehiclesCode0
Grounding Linguistic Commands to Navigable RegionsCode0
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action PredictionCode0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
LoopDA: Constructing Self-loops to Adapt Nighttime Semantic SegmentationCode0
Game-theoretic Objective Space PlanningCode0
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Benchmark Results

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