Self-Driving Cars
170 papers with code • 0 benchmarks • 15 datasets
Self-driving cars : the task of making a car that can drive itself without human guidance.
( Image credit: Learning a Driving Simulator )
Benchmarks
These leaderboards are used to track progress in Self-Driving Cars
Libraries
Use these libraries to find Self-Driving Cars models and implementations
DDAD
Lost and Found
Shifts
Talk2Car
BDD-X
Argoverse 2 Motion Forecasting
SOD
HPD
OC
ELAS
Latest papers
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
We verify the effectiveness of our NeRF-LiDAR by training different 3D segmentation models on the generated LiDAR point clouds.
Self-Supervised Learning based Depth Estimation from Monocular Images
nyu-ce-projects/depth-estimation
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Depth Estimation has wide reaching applications in the field of Computer vision such as target tracking, augmented reality, and self-driving cars.
Model-Based Reinforcement Learning with Isolated Imaginations
panmt/mbrl_with_isolated_imaginations
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On top of our previous work, we further consider the sparse dependencies between controllable and noncontrollable states, address the training collapse problem of state decoupling, and validate our approach in transfer learning setups.
A dataset for Audio-Visual Sound Event Detection in Movies
usc-sail/mica-subtitle-aligned-movie-sounds
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In this work, we present a dataset of audio events called Subtitle-Aligned Movie Sounds (SAM-S).
Referential communication in heterogeneous communities of pre-trained visual deep networks
As a first step in this direction, we systematically explore the task of \textit{referential communication} in a community of heterogeneous state-of-the-art pre-trained visual networks, showing that they can develop, in a self-supervised way, a shared protocol to refer to a target object among a set of candidates.
Query-Centric Trajectory Prediction
ZikangZhou/QCNet
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CVPR 2023
A refinement module then takes the trajectory proposals as anchors and leverages anchor-based queries to refine the trajectories further.
Deep Depth Estimation From Thermal Image
ukcheolshin/ms2-multispectralstereodataset
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CVPR 2023
Secondly, we conduct an exhaustive validation process of monocular and stereo depth estimation algorithms designed on visible spectrum bands to benchmark their performance in the thermal image domain.
AmbieGen: A Search-based Framework for Autonomous Systems Testing
To address this challenge, we introduce AmbieGen, a search-based test case generation framework for autonomous systems.
Detection of out-of-distribution samples using binary neuron activation patterns
safednn-group/nap-ood
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CVPR 2023
Existing approaches to detect OOD samples treat a DNN as a black box and evaluate the confidence score of the output predictions.
Benchmark for Uncertainty & Robustness in Self-Supervised Learning
hamanhbui/reliable_ssl_baselines
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Self-Supervised Learning (SSL) is crucial for real-world applications, especially in data-hungry domains such as healthcare and self-driving cars.
