Automotive Radar

This video explains about ADAS, how it works, some examples from industry.

It explains about AD - Autonomous Driving Vehicles. What are SAE levels and some industrial examples.

Explanation of how ADAS and AD are related to each other using general block diagram and industrial examples.

Role of different environement sensors line Radar, Lidar, Camera, Ultrasonic sensors and their working is explained. Also how they are used in ADAS / AD applications.

Functional and physical importance of Radar Sensor. How it makes important for ADAS and AD applications and role of different sensors in sensor data fusion.

What is Radar, basic working and main signal processing components. Classification of Radar based on different criteria.

Why Radar is used so much in ADAS and AD applications. About SRR, MRR, LRR sensors, What is detection, different Radar parameters. Terms like Probability of Detection, Probability of missing detection, probability of false alarm. Why nowadays, 77GHz is more adapted compared to 24GHz.  FMCW vs Pulsed Wave Radar.

Different parts of physical Radar sensor are explained. This helps you to understand each component while handling the sensor.

Having knowledge of Radar is not sufficient. It is important to know how sensor is mounted and terms related to the mounting, which are widely use in ADAS and AD applications. So...what is ego vehicle, target vehicle, different coordinate systems like ego coordinates, sensor coordinates, target coordinates, 2D and 3D coordinate systems for sensors, different mounting positions of sensors on Ego vehicle, sensor Field of View and how it is defined for 2D and 3D sensors.

Description of each signal processing components of Automotive Radar. Like, Waveform generator, Power amplifier, Rx, Tx, Mixer, etc... Antenna Pattern, beam formation, main lobe , side lobes, etc..

Short Derivation of Radar Range Equation and understanding each parameter of equation.

Basic Electromagnetic Signal properties like wavelength, frequency, amplitude, phase, phase difference, etc. FMCW waveform, types of FMCW waveforms used in Automotive Radar

Terms like Bandwidth, Chirp, Chitp Time, Segment, IF, Segment time, Slope of Chirp, etc.. are explained with FMCW waveform. This terms are required to know, if you want to design the Radar and/or to read datasheet of radar sensors

here you will learn, how radar sensor measures IF and then calculate Range (distance) of the target object. How maximum Range and range resolution is calculated. you will learn all the relevant formulae and short derivations.

here you will learn, about doppler effect, how it is used by Radar to calculate relative velocity of the target objects. Also learn about maximum velocity measurement and velocity resolution of the sensor along with all the relevant formulae and short derivations.

here you will learn, about the importance of multiple RX antennae for one Radar sensor and how Radar uses it to calculate the angle of arrival of the target objects. Also, learn about the sensor's maximum angle measurement and angle resolution along with all the relevant formulae and short derivations.

here you will learn about RCS measurement. How it is dependent on multiple factors, some standard RCS values of different target sizes which are useful during work, What is Radar Cone / corner reflector.

you will learn how Radar sensor process multiple detections of one scan together using FFT. Hence, basics of FFT with simulation example, how FFT helps in measurement of Range, Velocity and Angle. Range FFT and Doppler FFT

How Angle FFT is calculated and then RD maps are generated for one  Radar scan.

Understanding of clutter and why it is important to remove it. How to remove it using CFAR techniques. A short intro to different CFAR algorithms used in industry.

Overall understanding of how one Radar scan - signal processing works and provides one complete detection list.

you will learn about various steps involved in Radar data processing including cordinate transformations, ego vehicle speed compensation, filtering of dynamic and static detections.

futher data processing steps - clustering methods and object list generation

What is object tracking ? Single Object Tracking (SOT), Multi-Object Tracking (MOT), Challenge of Data association in MOT, Predict - Measurement update cycle, brief introduction to tracking filters like Kalman filter and final track object list generation process.

Topics you will learn here are - Phase Array Antenna, MIMO Radar, Doppler and micro doppler, Low Resolution and high resolution Radar, Short intro to deep learning in Radar.

here you will find, list of all the relevant technical papers, books and web links for further study and research.

You will explore some latest automotive radar technology and some low cost radar sensors for learning purpose

You will explore more latest automotive radar sensors from different manufacturers

You will explore some automotive radar sensors which from manufacturers who are in this field since many years.